#Link to video presentation: https://youtu.be/HbXR6Fg7o4U
#Loaded in every library needed for this analysis
library(ggplot2)
library(stringi)
library(readxl)
library(XML)
library(rvest)
library(naniar)
library(e1071)
library(caret)
## Loading required package: lattice
library(class)
library(tidyverse)
## -- Attaching packages --------------------------------------- tidyverse 1.3.2
## --
## v tibble 3.1.8 v dplyr 1.0.10
## v tidyr 1.2.1 v stringr 1.5.0
## v readr 2.1.3 v forcats 0.5.2
## v purrr 1.0.1
## -- Conflicts ------------------------------------------ tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x readr::guess_encoding() masks rvest::guess_encoding()
## x dplyr::lag() masks stats::lag()
## x purrr::lift() masks caret::lift()
library(GGally)
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
library(stringr)
library(dplyr)
library(tidyr)
library(knitr)
library(rmarkdown)
library(psych)
## Warning: package 'psych' was built under R version 4.2.3
##
## Attaching package: 'psych'
##
## The following objects are masked from 'package:ggplot2':
##
## %+%, alpha
library(Metrics)
## Warning: package 'Metrics' was built under R version 4.2.3
##
## Attaching package: 'Metrics'
##
## The following objects are masked from 'package:caret':
##
## precision, recall
library(plotly)
##
## Attaching package: 'plotly'
##
## The following object is masked from 'package:ggplot2':
##
## last_plot
##
## The following object is masked from 'package:stats':
##
## filter
##
## The following object is masked from 'package:graphics':
##
## layout
#Imported CaseStudy2-data.csv file
#Reading in employee data
employee = read.csv(file.choose(), header = TRUE)
employee
## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## 7 7 41 No Travel_Rarely 1283 Research & Development
## 8 8 37 No Travel_Rarely 309 Sales
## 9 9 34 No Travel_Rarely 1333 Sales
## 10 10 34 No Travel_Frequently 653 Research & Development
## 11 11 43 No Travel_Rarely 823 Research & Development
## 12 12 28 No Non-Travel 280 Human Resources
## 13 13 35 No Travel_Rarely 950 Research & Development
## 14 14 30 No Travel_Rarely 202 Sales
## 15 15 46 No Travel_Rarely 991 Human Resources
## 16 16 31 No Non-Travel 1188 Sales
## 17 17 32 No Travel_Rarely 498 Research & Development
## 18 18 46 No Non-Travel 1144 Research & Development
## 19 19 34 No Travel_Rarely 181 Research & Development
## 20 20 44 No Travel_Rarely 170 Research & Development
## 21 21 36 No Travel_Rarely 913 Research & Development
## 22 22 48 No Travel_Rarely 817 Sales
## 23 23 43 No Travel_Frequently 1001 Research & Development
## 24 24 31 No Travel_Frequently 715 Sales
## 25 25 33 No Travel_Rarely 1069 Research & Development
## 26 26 44 No Travel_Rarely 1099 Sales
## 27 27 38 No Travel_Rarely 1245 Sales
## 28 28 33 Yes Travel_Rarely 603 Sales
## 29 29 53 Yes Travel_Rarely 1168 Sales
## 30 30 52 No Non-Travel 715 Research & Development
## 31 31 32 No Travel_Frequently 689 Sales
## 32 32 33 No Travel_Rarely 267 Research & Development
## 33 33 46 No Travel_Rarely 488 Sales
## 34 34 35 No Travel_Rarely 982 Research & Development
## 35 35 32 No Travel_Rarely 1373 Research & Development
## 36 36 32 No Travel_Frequently 1311 Research & Development
## 37 37 35 Yes Travel_Rarely 737 Sales
## 38 38 36 Yes Travel_Rarely 1456 Sales
## 39 39 56 No Travel_Rarely 206 Human Resources
## 40 40 31 No Travel_Frequently 793 Sales
## 41 41 58 No Non-Travel 350 Sales
## 42 42 45 No Travel_Rarely 954 Sales
## 43 43 49 No Travel_Rarely 464 Research & Development
## 44 44 42 No Travel_Rarely 1059 Research & Development
## 45 45 23 No Travel_Rarely 373 Research & Development
## 46 46 42 No Travel_Frequently 748 Research & Development
## 47 47 32 Yes Travel_Rarely 964 Sales
## 48 48 38 No Travel_Rarely 770 Sales
## 49 49 18 Yes Travel_Frequently 1306 Sales
## 50 50 27 No Non-Travel 691 Research & Development
## 51 51 38 No Travel_Rarely 362 Research & Development
## 52 52 58 No Travel_Rarely 1055 Research & Development
## 53 53 44 No Travel_Rarely 1117 Research & Development
## 54 54 45 No Non-Travel 805 Research & Development
## 55 55 31 No Travel_Rarely 746 Research & Development
## 56 56 41 No Travel_Rarely 548 Research & Development
## 57 57 42 Yes Travel_Frequently 933 Research & Development
## 58 58 29 No Travel_Rarely 1370 Research & Development
## 59 59 37 No Non-Travel 728 Research & Development
## 60 60 25 Yes Travel_Frequently 599 Sales
## 61 61 36 Yes Travel_Rarely 530 Sales
## 62 62 36 No Travel_Rarely 325 Research & Development
## 63 63 31 No Travel_Rarely 1154 Sales
## 64 64 18 No Non-Travel 1431 Research & Development
## 65 65 24 Yes Travel_Rarely 984 Research & Development
## 66 66 32 No Travel_Rarely 334 Research & Development
## 67 67 35 No Travel_Rarely 1017 Research & Development
## 68 68 23 No Travel_Rarely 571 Research & Development
## 69 69 35 No Travel_Frequently 664 Research & Development
## 70 70 37 No Travel_Rarely 1372 Research & Development
## 71 71 41 No Travel_Rarely 642 Research & Development
## 72 72 28 No Travel_Rarely 866 Sales
## 73 73 35 Yes Travel_Rarely 556 Research & Development
## 74 74 41 No Travel_Rarely 167 Research & Development
## 75 75 52 Yes Travel_Rarely 1030 Sales
## 76 76 30 No Travel_Frequently 721 Research & Development
## 77 77 34 No Travel_Rarely 971 Sales
## 78 78 46 No Travel_Rarely 563 Sales
## 79 79 45 No Non-Travel 1052 Sales
## 80 80 31 No Travel_Rarely 1276 Research & Development
## 81 81 37 Yes Travel_Rarely 1141 Research & Development
## 82 82 35 No Travel_Rarely 1370 Research & Development
## 83 83 38 No Travel_Frequently 508 Research & Development
## 84 84 37 No Travel_Rarely 1319 Research & Development
## 85 85 36 No Travel_Rarely 429 Research & Development
## 86 86 59 No Travel_Rarely 715 Research & Development
## 87 87 47 No Travel_Rarely 703 Sales
## 88 88 35 Yes Travel_Rarely 622 Research & Development
## 89 89 27 No Travel_Frequently 994 Sales
## 90 90 46 No Travel_Rarely 705 Sales
## 91 91 38 No Travel_Frequently 1490 Research & Development
## 92 92 29 Yes Travel_Rarely 408 Sales
## 93 93 37 Yes Travel_Rarely 1373 Research & Development
## 94 94 35 No Travel_Rarely 670 Research & Development
## 95 95 50 No Travel_Rarely 1452 Research & Development
## 96 96 42 No Travel_Rarely 635 Sales
## 97 97 46 No Travel_Rarely 228 Sales
## 98 98 37 No Non-Travel 1040 Research & Development
## 99 99 29 No Travel_Frequently 410 Research & Development
## 100 100 34 No Travel_Rarely 401 Research & Development
## 101 101 27 No Travel_Rarely 1377 Research & Development
## 102 102 31 No Travel_Rarely 326 Sales
## 103 103 34 No Non-Travel 1381 Sales
## 104 104 23 No Travel_Rarely 885 Research & Development
## 105 105 53 No Travel_Rarely 447 Research & Development
## 106 106 26 No Travel_Rarely 1384 Research & Development
## 107 107 29 No Non-Travel 1496 Research & Development
## 108 108 55 No Travel_Rarely 189 Human Resources
## 109 109 46 Yes Travel_Rarely 261 Research & Development
## 110 110 32 No Travel_Rarely 529 Research & Development
## 111 111 28 No Travel_Frequently 773 Research & Development
## 112 112 52 No Travel_Rarely 1053 Research & Development
## 113 113 52 No Travel_Rarely 994 Research & Development
## 114 114 35 No Non-Travel 1225 Research & Development
## 115 115 35 No Travel_Rarely 1361 Sales
## 116 116 37 No Non-Travel 1252 Sales
## 117 117 25 No Travel_Rarely 1356 Sales
## 118 118 29 No Travel_Rarely 1378 Research & Development
## 119 119 41 No Travel_Rarely 465 Research & Development
## 120 120 34 No Travel_Rarely 404 Research & Development
## 121 121 36 No Non-Travel 427 Research & Development
## 122 122 21 No Travel_Rarely 501 Sales
## 123 123 45 No Travel_Rarely 930 Sales
## 124 124 38 No Travel_Rarely 243 Sales
## 125 125 29 No Travel_Frequently 442 Sales
## 126 126 35 No Travel_Rarely 1224 Sales
## 127 127 32 Yes Travel_Frequently 1125 Research & Development
## 128 128 45 No Travel_Rarely 556 Research & Development
## 129 129 43 No Travel_Rarely 930 Research & Development
## 130 130 46 No Travel_Rarely 1319 Sales
## 131 131 29 No Travel_Rarely 991 Sales
## 132 132 49 No Travel_Rarely 1313 Sales
## 133 133 42 No Travel_Frequently 1368 Research & Development
## 134 134 39 No Travel_Rarely 492 Research & Development
## 135 135 43 No Travel_Frequently 559 Research & Development
## 136 136 40 No Travel_Frequently 791 Research & Development
## 137 137 29 Yes Travel_Rarely 805 Research & Development
## 138 138 54 No Travel_Rarely 1441 Research & Development
## 139 139 39 Yes Travel_Rarely 1122 Research & Development
## 140 140 37 No Travel_Rarely 1189 Sales
## 141 141 56 No Travel_Rarely 1369 Research & Development
## 142 142 58 No Travel_Rarely 848 Research & Development
## 143 143 46 No Travel_Rarely 566 Research & Development
## 144 144 37 No Travel_Rarely 228 Sales
## 145 145 40 No Travel_Rarely 1202 Research & Development
## 146 146 29 No Non-Travel 746 Sales
## 147 147 33 No Travel_Rarely 931 Research & Development
## 148 148 33 No Travel_Rarely 1242 Sales
## 149 149 24 No Travel_Rarely 477 Research & Development
## 150 150 28 No Travel_Rarely 580 Research & Development
## 151 151 31 Yes Travel_Rarely 1365 Sales
## 152 152 32 No Travel_Rarely 929 Sales
## 153 153 32 No Travel_Rarely 906 Sales
## 154 154 41 No Travel_Rarely 447 Research & Development
## 155 155 34 No Travel_Rarely 546 Research & Development
## 156 156 30 No Non-Travel 641 Sales
## 157 157 40 No Travel_Rarely 444 Sales
## 158 158 39 Yes Travel_Frequently 203 Research & Development
## 159 159 43 No Travel_Frequently 1082 Research & Development
## 160 160 42 No Travel_Frequently 458 Research & Development
## 161 161 30 No Travel_Rarely 852 Research & Development
## 162 162 28 Yes Non-Travel 1366 Research & Development
## 163 163 33 No Travel_Rarely 1216 Sales
## 164 164 42 No Travel_Rarely 916 Research & Development
## 165 165 35 No Travel_Rarely 1232 Sales
## 166 166 20 Yes Travel_Rarely 500 Sales
## 167 167 49 No Travel_Rarely 301 Research & Development
## 168 168 33 No Travel_Rarely 922 Research & Development
## 169 169 52 No Travel_Rarely 956 Research & Development
## 170 170 29 No Travel_Rarely 1107 Research & Development
## 171 171 30 No Travel_Rarely 501 Sales
## 172 172 47 No Non-Travel 1169 Research & Development
## 173 173 46 No Travel_Frequently 1034 Research & Development
## 174 174 33 No Travel_Rarely 536 Sales
## 175 175 53 No Travel_Rarely 1376 Sales
## 176 176 21 No Travel_Rarely 984 Research & Development
## 177 177 55 Yes Travel_Rarely 725 Research & Development
## 178 178 26 Yes Travel_Frequently 342 Research & Development
## 179 179 32 No Travel_Frequently 967 Sales
## 180 180 38 No Travel_Rarely 702 Sales
## 181 181 35 No Travel_Rarely 819 Research & Development
## 182 182 38 No Travel_Rarely 1009 Sales
## 183 183 43 No Travel_Frequently 957 Research & Development
## 184 184 39 No Travel_Rarely 1089 Research & Development
## 185 185 39 No Travel_Frequently 443 Research & Development
## 186 186 28 No Travel_Rarely 1158 Research & Development
## 187 187 25 No Travel_Frequently 772 Research & Development
## 188 188 47 No Travel_Rarely 1225 Sales
## 189 189 50 No Travel_Rarely 797 Research & Development
## 190 190 28 No Non-Travel 120 Sales
## 191 191 30 No Travel_Rarely 1275 Research & Development
## 192 192 31 No Travel_Frequently 1125 Sales
## 193 193 46 No Travel_Rarely 1485 Research & Development
## 194 194 48 No Travel_Rarely 163 Sales
## 195 195 26 No Travel_Rarely 683 Research & Development
## 196 196 51 No Travel_Rarely 833 Research & Development
## 197 197 51 No Travel_Rarely 432 Research & Development
## 198 198 49 No Travel_Rarely 174 Sales
## 199 199 44 No Travel_Rarely 477 Research & Development
## 200 200 24 No Travel_Rarely 823 Research & Development
## 201 201 40 Yes Non-Travel 1479 Sales
## 202 202 32 No Travel_Rarely 548 Research & Development
## 203 203 32 No Travel_Rarely 859 Research & Development
## 204 204 28 Yes Travel_Rarely 654 Research & Development
## 205 205 32 No Travel_Rarely 1401 Sales
## 206 206 44 No Travel_Rarely 661 Research & Development
## 207 207 43 Yes Travel_Rarely 1372 Sales
## 208 208 38 Yes Travel_Rarely 1180 Research & Development
## 209 209 30 No Travel_Rarely 201 Research & Development
## 210 210 41 No Travel_Rarely 802 Sales
## 211 211 41 No Travel_Rarely 582 Research & Development
## 212 212 42 No Travel_Rarely 265 Sales
## 213 213 37 No Travel_Rarely 1225 Research & Development
## 214 214 42 No Travel_Rarely 932 Research & Development
## 215 215 27 No Travel_Rarely 1115 Research & Development
## 216 216 40 No Travel_Rarely 896 Research & Development
## 217 217 38 No Travel_Rarely 1495 Research & Development
## 218 218 48 No Travel_Frequently 117 Research & Development
## 219 219 30 No Travel_Rarely 438 Research & Development
## 220 220 26 No Travel_Rarely 583 Research & Development
## 221 221 34 No Travel_Rarely 304 Sales
## 222 222 45 Yes Travel_Frequently 306 Sales
## 223 223 33 No Non-Travel 530 Sales
## 224 224 28 No Travel_Rarely 1423 Research & Development
## 225 225 38 No Travel_Rarely 1206 Research & Development
## 226 226 30 No Travel_Rarely 911 Research & Development
## 227 227 35 No Travel_Rarely 464 Research & Development
## 228 228 22 No Travel_Rarely 1136 Research & Development
## 229 229 24 No Travel_Rarely 1353 Sales
## 230 230 49 No Travel_Rarely 465 Research & Development
## 231 231 45 No Travel_Rarely 1329 Research & Development
## 232 232 35 No Travel_Rarely 890 Sales
## 233 233 47 Yes Travel_Frequently 1093 Sales
## 234 234 54 No Travel_Rarely 1147 Sales
## 235 235 43 No Travel_Frequently 394 Sales
## 236 236 37 Yes Travel_Rarely 625 Sales
## 237 237 42 No Travel_Rarely 300 Research & Development
## 238 238 32 No Travel_Rarely 646 Research & Development
## 239 239 25 No Travel_Rarely 309 Human Resources
## 240 240 50 No Travel_Rarely 813 Research & Development
## 241 241 42 No Travel_Rarely 319 Research & Development
## 242 242 45 No Travel_Frequently 364 Research & Development
## 243 243 29 No Travel_Rarely 1328 Research & Development
## 244 244 25 Yes Travel_Rarely 383 Sales
## 245 245 29 No Travel_Rarely 718 Research & Development
## 246 246 29 No Travel_Rarely 1086 Research & Development
## 247 247 31 No Travel_Rarely 1232 Research & Development
## 248 248 32 No Travel_Rarely 234 Sales
## 249 249 41 No Travel_Frequently 1200 Research & Development
## 250 250 41 No Travel_Rarely 1276 Sales
## 251 251 33 No Non-Travel 1313 Research & Development
## 252 252 36 No Non-Travel 1229 Sales
## 253 253 45 No Travel_Rarely 252 Research & Development
## 254 254 31 Yes Travel_Rarely 359 Human Resources
## 255 255 40 No Non-Travel 218 Research & Development
## 256 256 43 No Non-Travel 343 Research & Development
## 257 257 31 No Travel_Frequently 444 Sales
## 258 258 30 No Travel_Rarely 855 Sales
## 259 259 34 No Travel_Rarely 1480 Sales
## 260 260 25 No Travel_Rarely 977 Research & Development
## 261 261 31 Yes Travel_Frequently 703 Sales
## 262 262 29 Yes Travel_Rarely 224 Research & Development
## 263 263 33 Yes Travel_Rarely 813 Research & Development
## 264 264 29 No Travel_Frequently 1404 Sales
## 265 265 24 No Travel_Rarely 1127 Research & Development
## 266 266 35 No Travel_Rarely 809 Research & Development
## 267 267 34 No Travel_Frequently 829 Research & Development
## 268 268 32 Yes Travel_Rarely 1259 Research & Development
## 269 269 33 No Travel_Frequently 1303 Research & Development
## 270 270 30 No Travel_Rarely 1176 Research & Development
## 271 271 45 No Non-Travel 589 Sales
## 272 272 34 No Travel_Rarely 1130 Research & Development
## 273 273 27 No Travel_Rarely 728 Sales
## 274 274 36 No Travel_Rarely 329 Sales
## 275 275 55 No Travel_Rarely 692 Research & Development
## 276 276 56 No Travel_Rarely 718 Research & Development
## 277 277 22 No Travel_Rarely 253 Research & Development
## 278 278 43 No Travel_Frequently 185 Research & Development
## 279 279 25 Yes Travel_Rarely 240 Sales
## 280 280 55 No Travel_Rarely 1229 Research & Development
## 281 281 43 No Travel_Rarely 1179 Sales
## 282 282 41 No Travel_Rarely 263 Research & Development
## 283 283 40 No Travel_Rarely 1194 Research & Development
## 284 284 31 No Travel_Rarely 691 Sales
## 285 285 38 No Travel_Rarely 433 Human Resources
## 286 286 33 No Travel_Rarely 589 Research & Development
## 287 287 22 Yes Travel_Rarely 391 Research & Development
## 288 288 34 No Travel_Rarely 1346 Research & Development
## 289 289 36 No Travel_Frequently 1467 Sales
## 290 290 35 No Travel_Rarely 384 Sales
## 291 291 45 No Travel_Rarely 974 Research & Development
## 292 292 36 No Non-Travel 1105 Research & Development
## 293 293 27 No Travel_Rarely 894 Research & Development
## 294 294 47 No Non-Travel 1162 Research & Development
## 295 295 40 No Travel_Rarely 898 Human Resources
## 296 296 35 No Travel_Rarely 1490 Research & Development
## 297 297 34 No Travel_Frequently 1069 Research & Development
## 298 298 34 Yes Travel_Frequently 658 Research & Development
## 299 299 31 Yes Non-Travel 335 Research & Development
## 300 300 28 Yes Travel_Rarely 1157 Research & Development
## 301 301 32 No Travel_Frequently 379 Sales
## 302 302 35 No Travel_Frequently 853 Sales
## 303 303 55 No Travel_Rarely 1441 Research & Development
## 304 304 35 No Travel_Rarely 1395 Research & Development
## 305 305 58 Yes Travel_Rarely 289 Research & Development
## 306 306 24 No Non-Travel 1269 Research & Development
## 307 307 50 No Travel_Rarely 804 Research & Development
## 308 308 34 No Non-Travel 697 Research & Development
## 309 309 55 No Travel_Frequently 135 Research & Development
## 310 310 25 No Travel_Rarely 810 Sales
## 311 311 34 No Travel_Rarely 1351 Research & Development
## 312 312 40 No Travel_Rarely 302 Research & Development
## 313 313 31 Yes Travel_Frequently 561 Research & Development
## 314 314 51 No Travel_Rarely 1169 Research & Development
## 315 315 60 No Travel_Rarely 1179 Sales
## 316 316 47 No Travel_Rarely 955 Sales
## 317 317 34 No Travel_Frequently 303 Sales
## 318 318 24 No Travel_Rarely 771 Research & Development
## 319 319 39 No Travel_Rarely 1498 Sales
## 320 320 19 No Travel_Rarely 265 Research & Development
## 321 321 32 No Non-Travel 1184 Research & Development
## 322 322 34 No Travel_Rarely 1397 Research & Development
## 323 323 30 No Travel_Frequently 1012 Research & Development
## 324 324 46 No Travel_Rarely 1003 Research & Development
## 325 325 39 No Travel_Rarely 466 Research & Development
## 326 326 27 No Travel_Rarely 618 Research & Development
## 327 327 44 No Travel_Rarely 1313 Research & Development
## 328 328 42 No Travel_Rarely 557 Research & Development
## 329 329 38 No Travel_Frequently 1394 Research & Development
## 330 330 42 No Travel_Rarely 1147 Human Resources
## 331 331 49 No Travel_Rarely 809 Research & Development
## 332 332 32 Yes Travel_Rarely 1045 Sales
## 333 333 44 Yes Travel_Frequently 429 Research & Development
## 334 334 27 No Travel_Rarely 608 Research & Development
## 335 335 59 No Non-Travel 1420 Human Resources
## 336 336 33 Yes Travel_Frequently 827 Research & Development
## 337 337 35 No Travel_Frequently 1182 Sales
## 338 338 34 No Travel_Frequently 618 Research & Development
## 339 339 50 Yes Travel_Frequently 959 Sales
## 340 340 27 No Travel_Rarely 1240 Research & Development
## 341 341 36 No Travel_Rarely 852 Research & Development
## 342 342 28 No Travel_Frequently 193 Research & Development
## 343 343 33 No Travel_Rarely 654 Research & Development
## 344 344 30 No Travel_Frequently 160 Research & Development
## 345 345 30 No Travel_Rarely 1329 Sales
## 346 346 39 No Travel_Rarely 119 Sales
## 347 347 34 No Travel_Frequently 1003 Research & Development
## 348 348 26 No Travel_Frequently 1479 Research & Development
## 349 349 44 No Non-Travel 111 Research & Development
## 350 350 56 No Travel_Rarely 832 Research & Development
## 351 351 42 No Travel_Rarely 1396 Research & Development
## 352 352 31 No Travel_Rarely 218 Sales
## 353 353 40 No Travel_Frequently 902 Research & Development
## 354 354 40 No Non-Travel 1142 Research & Development
## 355 355 41 No Travel_Rarely 796 Sales
## 356 356 34 No Travel_Rarely 1326 Sales
## 357 357 26 No Travel_Rarely 841 Research & Development
## 358 358 29 Yes Travel_Rarely 408 Research & Development
## 359 359 32 No Travel_Rarely 427 Research & Development
## 360 360 36 No Travel_Rarely 1403 Research & Development
## 361 361 52 No Travel_Rarely 699 Research & Development
## 362 362 29 Yes Travel_Frequently 746 Sales
## 363 363 52 Yes Travel_Rarely 266 Sales
## 364 364 40 No Travel_Rarely 1416 Research & Development
## 365 365 55 No Travel_Rarely 282 Research & Development
## 366 366 56 No Travel_Frequently 906 Sales
## 367 367 34 No Travel_Frequently 135 Research & Development
## 368 368 40 No Travel_Rarely 1342 Sales
## 369 369 23 No Travel_Rarely 977 Research & Development
## 370 370 32 No Travel_Rarely 1018 Research & Development
## 371 371 31 No Travel_Frequently 853 Research & Development
## 372 372 30 No Non-Travel 1398 Sales
## 373 373 45 No Travel_Frequently 1249 Research & Development
## 374 374 37 No Travel_Rarely 1470 Research & Development
## 375 375 20 No Travel_Rarely 727 Sales
## 376 376 50 No Travel_Frequently 333 Research & Development
## 377 377 36 Yes Travel_Rarely 885 Research & Development
## 378 378 42 No Travel_Rarely 419 Sales
## 379 379 29 No Travel_Rarely 942 Research & Development
## 380 380 30 Yes Travel_Rarely 138 Research & Development
## 381 381 47 No Travel_Rarely 1482 Research & Development
## 382 382 26 No Travel_Rarely 1355 Human Resources
## 383 383 48 No Travel_Rarely 1221 Sales
## 384 384 23 No Travel_Rarely 541 Sales
## 385 385 51 Yes Travel_Rarely 1323 Research & Development
## 386 386 38 No Travel_Rarely 1333 Research & Development
## 387 387 35 No Travel_Frequently 944 Sales
## 388 388 29 No Travel_Rarely 232 Research & Development
## 389 389 36 No Travel_Rarely 530 Sales
## 390 390 21 Yes Travel_Frequently 756 Sales
## 391 391 34 No Travel_Rarely 1111 Sales
## 392 392 26 No Travel_Rarely 1443 Sales
## 393 393 31 No Non-Travel 976 Research & Development
## 394 394 60 No Travel_Frequently 1499 Sales
## 395 395 42 No Travel_Frequently 1271 Research & Development
## 396 396 31 No Travel_Rarely 192 Research & Development
## 397 397 46 No Travel_Rarely 1009 Research & Development
## 398 398 34 Yes Travel_Rarely 1107 Human Resources
## 399 399 56 No Non-Travel 667 Research & Development
## 400 400 44 No Travel_Frequently 1193 Research & Development
## 401 401 30 No Travel_Rarely 317 Research & Development
## 402 402 42 No Non-Travel 926 Research & Development
## 403 403 47 No Travel_Rarely 207 Research & Development
## 404 404 36 No Travel_Rarely 711 Research & Development
## 405 405 35 No Travel_Rarely 1343 Research & Development
## 406 406 43 No Travel_Rarely 782 Research & Development
## 407 407 31 No Travel_Rarely 196 Sales
## 408 408 36 No Travel_Rarely 917 Research & Development
## 409 409 53 No Travel_Rarely 1219 Sales
## 410 410 43 No Travel_Rarely 589 Research & Development
## 411 411 36 No Travel_Rarely 1278 Human Resources
## 412 412 41 No Travel_Rarely 918 Sales
## 413 413 37 No Travel_Rarely 408 Research & Development
## 414 414 32 No Travel_Frequently 1318 Sales
## 415 415 34 Yes Travel_Frequently 296 Sales
## 416 416 35 No Non-Travel 1180 Research & Development
## 417 417 30 No Non-Travel 1116 Research & Development
## 418 418 36 No Travel_Frequently 566 Research & Development
## 419 419 37 No Travel_Rarely 977 Research & Development
## 420 420 29 No Travel_Rarely 986 Research & Development
## 421 421 34 No Travel_Rarely 1153 Research & Development
## 422 422 37 No Non-Travel 1063 Research & Development
## 423 423 31 Yes Travel_Rarely 249 Sales
## 424 424 18 No Non-Travel 1124 Research & Development
## 425 425 28 No Travel_Rarely 736 Sales
## 426 426 43 No Travel_Rarely 415 Sales
## 427 427 30 No Non-Travel 990 Research & Development
## 428 428 21 No Travel_Rarely 996 Research & Development
## 429 429 32 Yes Travel_Rarely 515 Research & Development
## 430 430 34 No Travel_Rarely 470 Research & Development
## 431 431 27 No Travel_Rarely 1377 Sales
## 432 432 40 No Non-Travel 458 Research & Development
## 433 433 49 Yes Travel_Frequently 1475 Research & Development
## 434 434 29 No Travel_Rarely 590 Research & Development
## 435 435 40 No Travel_Rarely 658 Sales
## 436 436 27 No Travel_Rarely 1130 Sales
## 437 437 28 Yes Travel_Rarely 890 Research & Development
## 438 438 26 No Travel_Rarely 157 Research & Development
## 439 439 50 Yes Travel_Rarely 869 Sales
## 440 440 38 No Travel_Rarely 827 Research & Development
## 441 441 32 No Travel_Frequently 1316 Research & Development
## 442 442 29 No Travel_Rarely 1082 Research & Development
## 443 443 28 Yes Travel_Rarely 529 Research & Development
## 444 444 44 No Travel_Rarely 528 Human Resources
## 445 445 46 No Travel_Rarely 734 Research & Development
## 446 446 47 No Travel_Rarely 465 Research & Development
## 447 447 38 No Travel_Frequently 1189 Research & Development
## 448 448 42 No Travel_Rarely 1128 Research & Development
## 449 449 38 No Travel_Frequently 653 Research & Development
## 450 450 45 No Non-Travel 336 Sales
## 451 451 33 No Travel_Rarely 501 Research & Development
## 452 452 44 No Travel_Rarely 1467 Research & Development
## 453 453 35 Yes Travel_Rarely 303 Sales
## 454 454 33 No Travel_Rarely 217 Sales
## 455 455 48 No Travel_Rarely 1236 Research & Development
## 456 456 40 No Travel_Rarely 611 Sales
## 457 457 31 No Travel_Rarely 1112 Sales
## 458 458 51 No Travel_Rarely 632 Sales
## 459 459 56 No Travel_Rarely 1255 Research & Development
## 460 460 36 No Travel_Rarely 172 Research & Development
## 461 461 42 No Travel_Frequently 1474 Research & Development
## 462 462 36 No Travel_Rarely 311 Research & Development
## 463 463 50 No Travel_Frequently 809 Sales
## 464 464 31 No Travel_Frequently 163 Research & Development
## 465 465 43 Yes Travel_Frequently 807 Research & Development
## 466 466 38 No Travel_Rarely 371 Research & Development
## 467 467 36 No Travel_Rarely 1157 Sales
## 468 468 36 No Travel_Rarely 132 Research & Development
## 469 469 26 Yes Non-Travel 265 Sales
## 470 470 53 No Travel_Rarely 1084 Research & Development
## 471 471 27 No Travel_Rarely 1354 Research & Development
## 472 472 29 Yes Travel_Frequently 459 Research & Development
## 473 473 45 No Travel_Rarely 193 Research & Development
## 474 474 45 No Travel_Rarely 1316 Research & Development
## 475 475 28 No Travel_Rarely 895 Research & Development
## 476 476 46 No Travel_Frequently 1211 Sales
## 477 477 37 No Travel_Rarely 342 Sales
## 478 478 26 No Travel_Rarely 775 Sales
## 479 479 52 No Travel_Rarely 258 Research & Development
## 480 480 37 No Travel_Rarely 161 Research & Development
## 481 481 29 No Travel_Rarely 136 Research & Development
## 482 482 31 No Travel_Rarely 1222 Research & Development
## 483 483 34 No Travel_Frequently 735 Research & Development
## 484 484 56 No Travel_Rarely 713 Research & Development
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## 113 Healthcare Representative 2 Single 10445
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## 283 3 0 3
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## 300 2 2 2
## 301 8 5 3
## 302 8 1 8
## 303 2 1 2
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## 305 0 0 0
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## 310 2 1 2
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## 314 0 0 0
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## 318 3 1 2
## 319 4 1 4
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## 323 4 0 3
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## 325 6 11 8
## 326 1 0 0
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## 330 7 0 9
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## 350 7 1 1
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## 353 1 0 0
## 354 2 2 2
## 355 14 13 5
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## 358 2 1 1
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## 360 13 10 11
## 361 18 11 9
## 362 0 0 0
## 363 14 6 9
## 364 7 3 9
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## 367 8 5 10
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## 371 3 0 3
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## 373 9 9 11
## 374 4 7 7
## 375 2 0 2
## 376 6 13 9
## 377 13 15 14
## 378 0 0 0
## 379 4 1 3
## 380 2 0 1
## 381 2 1 1
## 382 7 5 7
## 383 2 2 2
## 384 0 0 0
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## 386 12 5 11
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## 388 2 1 2
## 389 7 6 7
## 390 2 1 2
## 391 2 1 2
## 392 2 0 0
## 393 2 2 3
## 394 13 13 11
## 395 1 2 2
## 396 2 2 2
## 397 2 0 1
## 398 2 2 2
## 399 12 1 9
## 400 2 2 2
## 401 4 0 2
## 402 3 0 2
## 403 2 2 0
## 404 2 0 2
## 405 5 1 1
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## 407 7 5 7
## 408 7 1 7
## 409 8 3 7
## 410 1 1 0
## 411 4 0 3
## 412 8 8 7
## 413 0 0 0
## 414 0 0 0
## 415 2 1 0
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## 417 7 6 7
## 418 0 0 0
## 419 8 3 11
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## 421 2 1 3
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## 423 7 7 7
## 424 0 0 0
## 425 3 0 4
## 426 0 0 0
## 427 0 0 0
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## 429 2 1 2
## 430 9 5 9
## 431 4 0 4
## 432 2 0 0
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## 434 0 0 0
## 435 0 0 0
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## 437 2 2 1
## 438 7 7 6
## 439 2 0 2
## 440 7 1 8
## 441 7 0 7
## 442 3 1 2
## 443 0 0 0
## 444 2 2 2
## 445 1 2 2
## 446 5 1 2
## 447 11 2 9
## 448 0 0 0
## 449 3 9 9
## 450 7 4 5
## 451 7 8 1
## 452 2 1 3
## 453 7 7 7
## 454 4 0 9
## 455 2 0 2
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## 459 2 1 0
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## 462 3 1 3
## 463 2 2 1
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## 465 0 0 0
## 466 2 1 2
## 467 2 1 2
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## 469 2 2 2
## 470 2 1 3
## 471 3 1 2
## 472 0 1 0
## 473 0 0 0
## 474 5 0 3
## 475 2 2 2
## 476 6 0 8
## 477 0 0 0
## 478 0 0 0
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## 480 11 6 8
## 481 3 0 2
## 482 4 0 2
## 483 10 6 11
## 484 2 2 2
## 485 10 15 6
## 486 4 0 5
## 487 0 0 0
## 488 2 4 3
## 489 0 0 0
## 490 1 4 3
## 491 2 1 2
## 492 2 1 2
## 493 2 1 4
## 494 8 3 3
## 495 9 1 7
## 496 6 4 17
## 497 2 0 2
## 498 2 1 2
## 499 7 7 7
## 500 2 1 2
## 501 9 5 9
## 502 2 0 3
## 503 7 7 7
## 504 9 8 8
## 505 17 5 6
## 506 1 2 5
## 507 0 0 0
## 508 2 3 2
## 509 8 5 8
## 510 15 15 8
## 511 7 1 9
## 512 4 0 5
## 513 2 1 3
## 514 14 8 12
## 515 2 2 2
## 516 1 1 2
## 517 0 0 0
## 518 3 0 4
## 519 2 6 7
## 520 2 1 0
## 521 2 1 3
## 522 1 0 0
## 523 0 0 0
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## 525 0 0 0
## 526 7 6 12
## 527 4 0 3
## 528 5 0 1
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## 530 4 4 3
## 531 9 1 9
## 532 0 0 0
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## 534 1 1 2
## 535 7 0 7
## 536 4 2 2
## 537 0 0 0
## 538 2 1 0
## 539 3 1 4
## 540 4 1 5
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## 542 8 7 6
## 543 1 0 1
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## 547 9 1 7
## 548 0 0 0
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## 558 5 1 3
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## 560 7 7 7
## 561 7 7 2
## 562 2 2 2
## 563 2 2 2
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## 566 3 1 2
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## 569 4 0 3
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## 571 4 1 4
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## 574 8 4 8
## 575 3 1 4
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## 591 2 1 3
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## 621 0 1 0
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## 623 2 1 3
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## 626 3 0 3
## 627 4 0 3
## 628 10 2 9
## 629 2 1 2
## 630 7 7 7
## 631 2 0 4
## 632 8 2 1
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## 634 0 0 0
## 635 0 0 0
## 636 2 2 2
## 637 6 13 7
## 638 7 1 1
## 639 5 1 4
## 640 3 0 2
## 641 0 0 0
## 642 4 7 7
## 643 7 6 2
## 644 2 3 0
## 645 0 0 0
## 646 11 2 11
## 647 0 0 0
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## 649 13 2 8
## 650 2 0 3
## 651 0 1 2
## 652 7 1 9
## 653 7 2 13
## 654 0 0 0
## 655 2 1 2
## 656 3 3 3
## 657 9 4 7
## 658 9 1 12
## 659 4 1 2
## 660 5 0 3
## 661 8 4 7
## 662 3 5 7
## 663 6 0 3
## 664 2 1 2
## 665 5 8 7
## 666 2 0 2
## 667 10 4 1
## 668 3 1 3
## 669 4 1 1
## 670 9 0 9
## 671 2 0 2
## 672 2 0 4
## 673 2 1 3
## 674 2 7 8
## 675 2 0 2
## 676 4 0 8
## 677 7 0 5
## 678 9 9 4
## 679 2 0 2
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## 681 2 0 3
## 682 2 1 2
## 683 2 0 2
## 684 3 1 4
## 685 2 0 2
## 686 8 0 8
## 687 7 7 7
## 688 2 1 1
## 689 0 1 0
## 690 10 3 8
## 691 3 1 2
## 692 7 9 9
## 693 0 0 0
## 694 0 0 0
## 695 3 1 3
## 696 2 1 2
## 697 2 2 2
## 698 11 3 7
## 699 0 0 0
## 700 2 0 3
## 701 0 0 0
## 702 5 1 3
## 703 2 4 12
## 704 1 1 4
## 705 2 2 2
## 706 3 1 10
## 707 1 1 7
## 708 2 0 2
## 709 4 0 4
## 710 6 14 7
## 711 1 0 8
## 712 0 0 0
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## 714 9 1 12
## 715 7 0 9
## 716 0 0 0
## 717 3 1 4
## 718 7 1 7
## 719 9 6 7
## 720 7 1 7
## 721 7 7 8
## 722 3 0 2
## 723 3 1 3
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## 725 0 0 0
## 726 2 1 2
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## 728 3 2 0
## 729 0 0 0
## 730 1 2 1
## 731 0 0 0
## 732 0 0 0
## 733 0 0 0
## 734 2 1 2
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## 736 7 0 7
## 737 9 9 6
## 738 1 0 5
## 739 2 1 0
## 740 2 0 2
## 741 2 2 2
## 742 4 0 1
## 743 8 3 7
## 744 2 1 2
## 745 3 0 4
## 746 1 0 0
## 747 2 2 0
## 748 9 4 9
## 749 2 1 2
## 750 1 0 2
## 751 2 0 2
## 752 2 2 2
## 753 8 12 13
## 754 7 0 7
## 755 3 0 3
## 756 2 1 4
## 757 6 0 7
## 758 2 1 2
## 759 0 0 0
## 760 10 1 11
## 761 0 0 0
## 762 14 3 0
## 763 2 11 9
## 764 7 0 13
## 765 2 0 2
## 766 7 1 4
## 767 6 0 8
## 768 0 0 1
## 769 3 1 4
## 770 10 4 12
## 771 7 0 1
## 772 13 15 7
## 773 6 11 8
## 774 0 0 0
## 775 8 13 9
## 776 2 0 2
## 777 3 1 3
## 778 0 0 0
## 779 7 5 7
## 780 2 2 2
## 781 3 0 2
## 782 7 11 10
## 783 3 0 3
## 784 7 0 1
## 785 0 0 0
## 786 2 1 0
## 787 2 2 2
## 788 2 7 7
## 789 0 0 0
## 790 2 2 1
## 791 2 1 2
## 792 2 1 2
## 793 4 0 2
## 794 14 12 8
## 795 7 1 7
## 796 8 9 7
## 797 7 4 10
## 798 0 0 0
## 799 1 0 0
## 800 4 0 4
## 801 3 1 3
## 802 5 0 5
## 803 9 11 10
## 804 7 4 7
## 805 2 1 2
## 806 8 5 7
## 807 2 1 2
## 808 2 2 2
## 809 0 0 8
## 810 2 1 1
## 811 9 6 10
## 812 2 0 2
## 813 2 0 3
## 814 2 1 0
## 815 2 1 2
## 816 10 4 10
## 817 0 0 0
## 818 9 3 7
## 819 3 1 2
## 820 0 2 2
## 821 2 0 2
## 822 2 0 2
## 823 7 1 7
## 824 2 2 2
## 825 2 1 1
## 826 2 2 2
## 827 0 0 0
## 828 2 0 2
## 829 1 0 5
## 830 5 10 7
## 831 8 0 8
## 832 0 0 0
## 833 5 3 3
## 834 1 0 0
## 835 9 15 0
## 836 5 7 7
## 837 4 1 3
## 838 7 5 7
## 839 11 14 10
## 840 10 12 9
## 841 0 0 0
## 842 9 0 9
## 843 8 0 0
## 844 7 1 6
## 845 2 2 2
## 846 0 1 8
## 847 0 0 0
## 848 10 3 7
## 849 4 1 0
## 850 7 7 7
## 851 2 2 2
## 852 0 1 8
## 853 5 0 8
## 854 3 0 7
## 855 2 0 2
## 856 0 0 0
## 857 2 0 4
## 858 9 8 9
## 859 0 1 4
## 860 7 0 5
## 861 0 7 7
## 862 7 15 17
## 863 2 0 4
## 864 2 11 13
## 865 1 1 2
## 866 9 0 8
## 867 2 2 2
## 868 4 1 2
## 869 2 0 2
## 870 2 1 2
#Verifying employee data
head(employee)
## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7
#Cleaned data for potential missing values
#Removing NAs in dataset
is.na(employee)
## ID Age Attrition BusinessTravel DailyRate Department
## [1,] FALSE FALSE FALSE FALSE FALSE FALSE
## [2,] FALSE FALSE FALSE FALSE FALSE FALSE
## [3,] FALSE FALSE FALSE FALSE FALSE FALSE
## [4,] FALSE FALSE FALSE FALSE FALSE FALSE
## [5,] FALSE FALSE FALSE FALSE FALSE FALSE
## [6,] FALSE FALSE FALSE FALSE FALSE FALSE
## [7,] FALSE FALSE FALSE FALSE FALSE FALSE
## [8,] FALSE FALSE FALSE FALSE FALSE FALSE
## [9,] FALSE FALSE FALSE FALSE FALSE FALSE
## [10,] FALSE FALSE FALSE FALSE FALSE FALSE
## [11,] FALSE FALSE FALSE FALSE FALSE FALSE
## [12,] FALSE FALSE FALSE FALSE FALSE FALSE
## [13,] FALSE FALSE FALSE FALSE FALSE FALSE
## [14,] FALSE FALSE FALSE FALSE FALSE FALSE
## [15,] FALSE FALSE FALSE FALSE FALSE FALSE
## [16,] FALSE FALSE FALSE FALSE FALSE FALSE
## [17,] FALSE FALSE FALSE FALSE FALSE FALSE
## [18,] FALSE FALSE FALSE FALSE FALSE FALSE
## [19,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [21,] FALSE FALSE FALSE FALSE FALSE FALSE
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## [100,] FALSE FALSE FALSE FALSE FALSE FALSE
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## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## [1,] FALSE FALSE FALSE FALSE FALSE
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## JobRole JobSatisfaction MaritalStatus MonthlyIncome MonthlyRate
## [1,] FALSE FALSE FALSE FALSE FALSE
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## [870,] FALSE FALSE FALSE FALSE FALSE
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## [1,] FALSE FALSE FALSE FALSE FALSE
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## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
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employeeClean = na.omit(employee)
#Summarizing data
str(employeeClean)
## 'data.frame': 870 obs. of 36 variables:
## $ ID : int 1 2 3 4 5 6 7 8 9 10 ...
## $ Age : int 32 40 35 32 24 27 41 37 34 34 ...
## $ Attrition : chr "No" "No" "No" "No" ...
## $ BusinessTravel : chr "Travel_Rarely" "Travel_Rarely" "Travel_Frequently" "Travel_Rarely" ...
## $ DailyRate : int 117 1308 200 801 567 294 1283 309 1333 653 ...
## $ Department : chr "Sales" "Research & Development" "Research & Development" "Sales" ...
## $ DistanceFromHome : int 13 14 18 1 2 10 5 10 10 10 ...
## $ Education : int 4 3 2 4 1 2 5 4 4 4 ...
## $ EducationField : chr "Life Sciences" "Medical" "Life Sciences" "Marketing" ...
## $ EmployeeCount : int 1 1 1 1 1 1 1 1 1 1 ...
## $ EmployeeNumber : int 859 1128 1412 2016 1646 733 1448 1105 1055 1597 ...
## $ EnvironmentSatisfaction : int 2 3 3 3 1 4 2 4 3 4 ...
## $ Gender : chr "Male" "Male" "Male" "Female" ...
## $ HourlyRate : int 73 44 60 48 32 32 90 88 87 92 ...
## $ JobInvolvement : int 3 2 3 3 3 3 4 2 3 2 ...
## $ JobLevel : int 2 5 3 3 1 3 1 2 1 2 ...
## $ JobRole : chr "Sales Executive" "Research Director" "Manufacturing Director" "Sales Executive" ...
## $ JobSatisfaction : int 4 3 4 4 4 1 3 4 3 3 ...
## $ MaritalStatus : chr "Divorced" "Single" "Single" "Married" ...
## $ MonthlyIncome : int 4403 19626 9362 10422 3760 8793 2127 6694 2220 5063 ...
## $ MonthlyRate : int 9250 17544 19944 24032 17218 4809 5561 24223 18410 15332 ...
## $ NumCompaniesWorked : int 2 1 2 1 1 1 2 2 1 1 ...
## $ Over18 : chr "Y" "Y" "Y" "Y" ...
## $ OverTime : chr "No" "No" "No" "No" ...
## $ PercentSalaryHike : int 11 14 11 19 13 21 12 14 19 14 ...
## $ PerformanceRating : int 3 3 3 3 3 4 3 3 3 3 ...
## $ RelationshipSatisfaction: int 3 1 3 3 3 3 1 3 4 2 ...
## $ StandardHours : int 80 80 80 80 80 80 80 80 80 80 ...
## $ StockOptionLevel : int 1 0 0 2 0 2 0 3 1 1 ...
## $ TotalWorkingYears : int 8 21 10 14 6 9 7 8 1 8 ...
## $ TrainingTimesLastYear : int 3 2 2 3 2 4 5 5 2 3 ...
## $ WorkLifeBalance : int 2 4 3 3 3 2 2 3 3 2 ...
## $ YearsAtCompany : int 5 20 2 14 6 9 4 1 1 8 ...
## $ YearsInCurrentRole : int 2 7 2 10 3 7 2 0 1 2 ...
## $ YearsSinceLastPromotion : int 0 4 2 5 1 1 0 0 0 7 ...
## $ YearsWithCurrManager : int 3 9 2 7 3 7 3 0 0 7 ...
summary(employeeClean)
## ID Age Attrition BusinessTravel
## Min. : 1.0 Min. :18.00 Length:870 Length:870
## 1st Qu.:218.2 1st Qu.:30.00 Class :character Class :character
## Median :435.5 Median :35.00 Mode :character Mode :character
## Mean :435.5 Mean :36.83
## 3rd Qu.:652.8 3rd Qu.:43.00
## Max. :870.0 Max. :60.00
## DailyRate Department DistanceFromHome Education
## Min. : 103.0 Length:870 Min. : 1.000 Min. :1.000
## 1st Qu.: 472.5 Class :character 1st Qu.: 2.000 1st Qu.:2.000
## Median : 817.5 Mode :character Median : 7.000 Median :3.000
## Mean : 815.2 Mean : 9.339 Mean :2.901
## 3rd Qu.:1165.8 3rd Qu.:14.000 3rd Qu.:4.000
## Max. :1499.0 Max. :29.000 Max. :5.000
## EducationField EmployeeCount EmployeeNumber EnvironmentSatisfaction
## Length:870 Min. :1 Min. : 1.0 Min. :1.000
## Class :character 1st Qu.:1 1st Qu.: 477.2 1st Qu.:2.000
## Mode :character Median :1 Median :1039.0 Median :3.000
## Mean :1 Mean :1029.8 Mean :2.701
## 3rd Qu.:1 3rd Qu.:1561.5 3rd Qu.:4.000
## Max. :1 Max. :2064.0 Max. :4.000
## Gender HourlyRate JobInvolvement JobLevel
## Length:870 Min. : 30.00 Min. :1.000 Min. :1.000
## Class :character 1st Qu.: 48.00 1st Qu.:2.000 1st Qu.:1.000
## Mode :character Median : 66.00 Median :3.000 Median :2.000
## Mean : 65.61 Mean :2.723 Mean :2.039
## 3rd Qu.: 83.00 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :100.00 Max. :4.000 Max. :5.000
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## Length:870 Min. :1.000 Length:870 Min. : 1081
## Class :character 1st Qu.:2.000 Class :character 1st Qu.: 2840
## Mode :character Median :3.000 Mode :character Median : 4946
## Mean :2.709 Mean : 6390
## 3rd Qu.:4.000 3rd Qu.: 8182
## Max. :4.000 Max. :19999
## MonthlyRate NumCompaniesWorked Over18 OverTime
## Min. : 2094 Min. :0.000 Length:870 Length:870
## 1st Qu.: 8092 1st Qu.:1.000 Class :character Class :character
## Median :14074 Median :2.000 Mode :character Mode :character
## Mean :14326 Mean :2.728
## 3rd Qu.:20456 3rd Qu.:4.000
## Max. :26997 Max. :9.000
## PercentSalaryHike PerformanceRating RelationshipSatisfaction StandardHours
## Min. :11.0 Min. :3.000 Min. :1.000 Min. :80
## 1st Qu.:12.0 1st Qu.:3.000 1st Qu.:2.000 1st Qu.:80
## Median :14.0 Median :3.000 Median :3.000 Median :80
## Mean :15.2 Mean :3.152 Mean :2.707 Mean :80
## 3rd Qu.:18.0 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:80
## Max. :25.0 Max. :4.000 Max. :4.000 Max. :80
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## Min. :0.0000 Min. : 0.00 Min. :0.000 Min. :1.000
## 1st Qu.:0.0000 1st Qu.: 6.00 1st Qu.:2.000 1st Qu.:2.000
## Median :1.0000 Median :10.00 Median :3.000 Median :3.000
## Mean :0.7839 Mean :11.05 Mean :2.832 Mean :2.782
## 3rd Qu.:1.0000 3rd Qu.:15.00 3rd Qu.:3.000 3rd Qu.:3.000
## Max. :3.0000 Max. :40.00 Max. :6.000 Max. :4.000
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## Min. : 0.000 Min. : 0.000 Min. : 0.000
## 1st Qu.: 3.000 1st Qu.: 2.000 1st Qu.: 0.000
## Median : 5.000 Median : 3.000 Median : 1.000
## Mean : 6.962 Mean : 4.205 Mean : 2.169
## 3rd Qu.:10.000 3rd Qu.: 7.000 3rd Qu.: 3.000
## Max. :40.000 Max. :18.000 Max. :15.000
## YearsWithCurrManager
## Min. : 0.00
## 1st Qu.: 2.00
## Median : 3.00
## Mean : 4.14
## 3rd Qu.: 7.00
## Max. :17.00
#Changed OverTime to binary category
#Converting the Overtime fields to a binary category for scalability
employeeClean$OverTimeBinary = ifelse(employeeClean$OverTime =="Yes", 1,0)
#Scaled columns for comparison of multiple variables
#Scaling columns
employeeClean$MonthlyIncomeScale = scale(employeeClean$MonthlyIncome)
employeeClean$AgeScale = scale(employeeClean$Age)
employeeClean$EnvironmentSatisfactionScale = scale(employeeClean$EnvironmentSatisfaction)
employeeClean$OverTimeScale = scale(employeeClean$OverTimeBinary)
employeeClean$YearsAtCompanyScale = scale(employeeClean$YearsAtCompany)
#Verifying scale
employeeClean
## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## 7 7 41 No Travel_Rarely 1283 Research & Development
## 8 8 37 No Travel_Rarely 309 Sales
## 9 9 34 No Travel_Rarely 1333 Sales
## 10 10 34 No Travel_Frequently 653 Research & Development
## 11 11 43 No Travel_Rarely 823 Research & Development
## 12 12 28 No Non-Travel 280 Human Resources
## 13 13 35 No Travel_Rarely 950 Research & Development
## 14 14 30 No Travel_Rarely 202 Sales
## 15 15 46 No Travel_Rarely 991 Human Resources
## 16 16 31 No Non-Travel 1188 Sales
## 17 17 32 No Travel_Rarely 498 Research & Development
## 18 18 46 No Non-Travel 1144 Research & Development
## 19 19 34 No Travel_Rarely 181 Research & Development
## 20 20 44 No Travel_Rarely 170 Research & Development
## 21 21 36 No Travel_Rarely 913 Research & Development
## 22 22 48 No Travel_Rarely 817 Sales
## 23 23 43 No Travel_Frequently 1001 Research & Development
## 24 24 31 No Travel_Frequently 715 Sales
## 25 25 33 No Travel_Rarely 1069 Research & Development
## 26 26 44 No Travel_Rarely 1099 Sales
## 27 27 38 No Travel_Rarely 1245 Sales
## 28 28 33 Yes Travel_Rarely 603 Sales
## 29 29 53 Yes Travel_Rarely 1168 Sales
## 30 30 52 No Non-Travel 715 Research & Development
## 31 31 32 No Travel_Frequently 689 Sales
## 32 32 33 No Travel_Rarely 267 Research & Development
## 33 33 46 No Travel_Rarely 488 Sales
## 34 34 35 No Travel_Rarely 982 Research & Development
## 35 35 32 No Travel_Rarely 1373 Research & Development
## 36 36 32 No Travel_Frequently 1311 Research & Development
## 37 37 35 Yes Travel_Rarely 737 Sales
## 38 38 36 Yes Travel_Rarely 1456 Sales
## 39 39 56 No Travel_Rarely 206 Human Resources
## 40 40 31 No Travel_Frequently 793 Sales
## 41 41 58 No Non-Travel 350 Sales
## 42 42 45 No Travel_Rarely 954 Sales
## 43 43 49 No Travel_Rarely 464 Research & Development
## 44 44 42 No Travel_Rarely 1059 Research & Development
## 45 45 23 No Travel_Rarely 373 Research & Development
## 46 46 42 No Travel_Frequently 748 Research & Development
## 47 47 32 Yes Travel_Rarely 964 Sales
## 48 48 38 No Travel_Rarely 770 Sales
## 49 49 18 Yes Travel_Frequently 1306 Sales
## 50 50 27 No Non-Travel 691 Research & Development
## 51 51 38 No Travel_Rarely 362 Research & Development
## 52 52 58 No Travel_Rarely 1055 Research & Development
## 53 53 44 No Travel_Rarely 1117 Research & Development
## 54 54 45 No Non-Travel 805 Research & Development
## 55 55 31 No Travel_Rarely 746 Research & Development
## 56 56 41 No Travel_Rarely 548 Research & Development
## 57 57 42 Yes Travel_Frequently 933 Research & Development
## 58 58 29 No Travel_Rarely 1370 Research & Development
## 59 59 37 No Non-Travel 728 Research & Development
## 60 60 25 Yes Travel_Frequently 599 Sales
## 61 61 36 Yes Travel_Rarely 530 Sales
## 62 62 36 No Travel_Rarely 325 Research & Development
## 63 63 31 No Travel_Rarely 1154 Sales
## 64 64 18 No Non-Travel 1431 Research & Development
## 65 65 24 Yes Travel_Rarely 984 Research & Development
## 66 66 32 No Travel_Rarely 334 Research & Development
## 67 67 35 No Travel_Rarely 1017 Research & Development
## 68 68 23 No Travel_Rarely 571 Research & Development
## 69 69 35 No Travel_Frequently 664 Research & Development
## 70 70 37 No Travel_Rarely 1372 Research & Development
## 71 71 41 No Travel_Rarely 642 Research & Development
## 72 72 28 No Travel_Rarely 866 Sales
## 73 73 35 Yes Travel_Rarely 556 Research & Development
## 74 74 41 No Travel_Rarely 167 Research & Development
## 75 75 52 Yes Travel_Rarely 1030 Sales
## 76 76 30 No Travel_Frequently 721 Research & Development
## 77 77 34 No Travel_Rarely 971 Sales
## 78 78 46 No Travel_Rarely 563 Sales
## 79 79 45 No Non-Travel 1052 Sales
## 80 80 31 No Travel_Rarely 1276 Research & Development
## 81 81 37 Yes Travel_Rarely 1141 Research & Development
## 82 82 35 No Travel_Rarely 1370 Research & Development
## 83 83 38 No Travel_Frequently 508 Research & Development
## 84 84 37 No Travel_Rarely 1319 Research & Development
## 85 85 36 No Travel_Rarely 429 Research & Development
## 86 86 59 No Travel_Rarely 715 Research & Development
## 87 87 47 No Travel_Rarely 703 Sales
## 88 88 35 Yes Travel_Rarely 622 Research & Development
## 89 89 27 No Travel_Frequently 994 Sales
## 90 90 46 No Travel_Rarely 705 Sales
## 91 91 38 No Travel_Frequently 1490 Research & Development
## 92 92 29 Yes Travel_Rarely 408 Sales
## 93 93 37 Yes Travel_Rarely 1373 Research & Development
## 94 94 35 No Travel_Rarely 670 Research & Development
## 95 95 50 No Travel_Rarely 1452 Research & Development
## 96 96 42 No Travel_Rarely 635 Sales
## 97 97 46 No Travel_Rarely 228 Sales
## 98 98 37 No Non-Travel 1040 Research & Development
## 99 99 29 No Travel_Frequently 410 Research & Development
## 100 100 34 No Travel_Rarely 401 Research & Development
## 101 101 27 No Travel_Rarely 1377 Research & Development
## 102 102 31 No Travel_Rarely 326 Sales
## 103 103 34 No Non-Travel 1381 Sales
## 104 104 23 No Travel_Rarely 885 Research & Development
## 105 105 53 No Travel_Rarely 447 Research & Development
## 106 106 26 No Travel_Rarely 1384 Research & Development
## 107 107 29 No Non-Travel 1496 Research & Development
## 108 108 55 No Travel_Rarely 189 Human Resources
## 109 109 46 Yes Travel_Rarely 261 Research & Development
## 110 110 32 No Travel_Rarely 529 Research & Development
## 111 111 28 No Travel_Frequently 773 Research & Development
## 112 112 52 No Travel_Rarely 1053 Research & Development
## 113 113 52 No Travel_Rarely 994 Research & Development
## 114 114 35 No Non-Travel 1225 Research & Development
## 115 115 35 No Travel_Rarely 1361 Sales
## 116 116 37 No Non-Travel 1252 Sales
## 117 117 25 No Travel_Rarely 1356 Sales
## 118 118 29 No Travel_Rarely 1378 Research & Development
## 119 119 41 No Travel_Rarely 465 Research & Development
## 120 120 34 No Travel_Rarely 404 Research & Development
## 121 121 36 No Non-Travel 427 Research & Development
## 122 122 21 No Travel_Rarely 501 Sales
## 123 123 45 No Travel_Rarely 930 Sales
## 124 124 38 No Travel_Rarely 243 Sales
## 125 125 29 No Travel_Frequently 442 Sales
## 126 126 35 No Travel_Rarely 1224 Sales
## 127 127 32 Yes Travel_Frequently 1125 Research & Development
## 128 128 45 No Travel_Rarely 556 Research & Development
## 129 129 43 No Travel_Rarely 930 Research & Development
## 130 130 46 No Travel_Rarely 1319 Sales
## 131 131 29 No Travel_Rarely 991 Sales
## 132 132 49 No Travel_Rarely 1313 Sales
## 133 133 42 No Travel_Frequently 1368 Research & Development
## 134 134 39 No Travel_Rarely 492 Research & Development
## 135 135 43 No Travel_Frequently 559 Research & Development
## 136 136 40 No Travel_Frequently 791 Research & Development
## 137 137 29 Yes Travel_Rarely 805 Research & Development
## 138 138 54 No Travel_Rarely 1441 Research & Development
## 139 139 39 Yes Travel_Rarely 1122 Research & Development
## 140 140 37 No Travel_Rarely 1189 Sales
## 141 141 56 No Travel_Rarely 1369 Research & Development
## 142 142 58 No Travel_Rarely 848 Research & Development
## 143 143 46 No Travel_Rarely 566 Research & Development
## 144 144 37 No Travel_Rarely 228 Sales
## 145 145 40 No Travel_Rarely 1202 Research & Development
## 146 146 29 No Non-Travel 746 Sales
## 147 147 33 No Travel_Rarely 931 Research & Development
## 148 148 33 No Travel_Rarely 1242 Sales
## 149 149 24 No Travel_Rarely 477 Research & Development
## 150 150 28 No Travel_Rarely 580 Research & Development
## 151 151 31 Yes Travel_Rarely 1365 Sales
## 152 152 32 No Travel_Rarely 929 Sales
## 153 153 32 No Travel_Rarely 906 Sales
## 154 154 41 No Travel_Rarely 447 Research & Development
## 155 155 34 No Travel_Rarely 546 Research & Development
## 156 156 30 No Non-Travel 641 Sales
## 157 157 40 No Travel_Rarely 444 Sales
## 158 158 39 Yes Travel_Frequently 203 Research & Development
## 159 159 43 No Travel_Frequently 1082 Research & Development
## 160 160 42 No Travel_Frequently 458 Research & Development
## 161 161 30 No Travel_Rarely 852 Research & Development
## 162 162 28 Yes Non-Travel 1366 Research & Development
## 163 163 33 No Travel_Rarely 1216 Sales
## 164 164 42 No Travel_Rarely 916 Research & Development
## 165 165 35 No Travel_Rarely 1232 Sales
## 166 166 20 Yes Travel_Rarely 500 Sales
## 167 167 49 No Travel_Rarely 301 Research & Development
## 168 168 33 No Travel_Rarely 922 Research & Development
## 169 169 52 No Travel_Rarely 956 Research & Development
## 170 170 29 No Travel_Rarely 1107 Research & Development
## 171 171 30 No Travel_Rarely 501 Sales
## 172 172 47 No Non-Travel 1169 Research & Development
## 173 173 46 No Travel_Frequently 1034 Research & Development
## 174 174 33 No Travel_Rarely 536 Sales
## 175 175 53 No Travel_Rarely 1376 Sales
## 176 176 21 No Travel_Rarely 984 Research & Development
## 177 177 55 Yes Travel_Rarely 725 Research & Development
## 178 178 26 Yes Travel_Frequently 342 Research & Development
## 179 179 32 No Travel_Frequently 967 Sales
## 180 180 38 No Travel_Rarely 702 Sales
## 181 181 35 No Travel_Rarely 819 Research & Development
## 182 182 38 No Travel_Rarely 1009 Sales
## 183 183 43 No Travel_Frequently 957 Research & Development
## 184 184 39 No Travel_Rarely 1089 Research & Development
## 185 185 39 No Travel_Frequently 443 Research & Development
## 186 186 28 No Travel_Rarely 1158 Research & Development
## 187 187 25 No Travel_Frequently 772 Research & Development
## 188 188 47 No Travel_Rarely 1225 Sales
## 189 189 50 No Travel_Rarely 797 Research & Development
## 190 190 28 No Non-Travel 120 Sales
## 191 191 30 No Travel_Rarely 1275 Research & Development
## 192 192 31 No Travel_Frequently 1125 Sales
## 193 193 46 No Travel_Rarely 1485 Research & Development
## 194 194 48 No Travel_Rarely 163 Sales
## 195 195 26 No Travel_Rarely 683 Research & Development
## 196 196 51 No Travel_Rarely 833 Research & Development
## 197 197 51 No Travel_Rarely 432 Research & Development
## 198 198 49 No Travel_Rarely 174 Sales
## 199 199 44 No Travel_Rarely 477 Research & Development
## 200 200 24 No Travel_Rarely 823 Research & Development
## 201 201 40 Yes Non-Travel 1479 Sales
## 202 202 32 No Travel_Rarely 548 Research & Development
## 203 203 32 No Travel_Rarely 859 Research & Development
## 204 204 28 Yes Travel_Rarely 654 Research & Development
## 205 205 32 No Travel_Rarely 1401 Sales
## 206 206 44 No Travel_Rarely 661 Research & Development
## 207 207 43 Yes Travel_Rarely 1372 Sales
## 208 208 38 Yes Travel_Rarely 1180 Research & Development
## 209 209 30 No Travel_Rarely 201 Research & Development
## 210 210 41 No Travel_Rarely 802 Sales
## 211 211 41 No Travel_Rarely 582 Research & Development
## 212 212 42 No Travel_Rarely 265 Sales
## 213 213 37 No Travel_Rarely 1225 Research & Development
## 214 214 42 No Travel_Rarely 932 Research & Development
## 215 215 27 No Travel_Rarely 1115 Research & Development
## 216 216 40 No Travel_Rarely 896 Research & Development
## 217 217 38 No Travel_Rarely 1495 Research & Development
## 218 218 48 No Travel_Frequently 117 Research & Development
## 219 219 30 No Travel_Rarely 438 Research & Development
## 220 220 26 No Travel_Rarely 583 Research & Development
## 221 221 34 No Travel_Rarely 304 Sales
## 222 222 45 Yes Travel_Frequently 306 Sales
## 223 223 33 No Non-Travel 530 Sales
## 224 224 28 No Travel_Rarely 1423 Research & Development
## 225 225 38 No Travel_Rarely 1206 Research & Development
## 226 226 30 No Travel_Rarely 911 Research & Development
## 227 227 35 No Travel_Rarely 464 Research & Development
## 228 228 22 No Travel_Rarely 1136 Research & Development
## 229 229 24 No Travel_Rarely 1353 Sales
## 230 230 49 No Travel_Rarely 465 Research & Development
## 231 231 45 No Travel_Rarely 1329 Research & Development
## 232 232 35 No Travel_Rarely 890 Sales
## 233 233 47 Yes Travel_Frequently 1093 Sales
## 234 234 54 No Travel_Rarely 1147 Sales
## 235 235 43 No Travel_Frequently 394 Sales
## 236 236 37 Yes Travel_Rarely 625 Sales
## 237 237 42 No Travel_Rarely 300 Research & Development
## 238 238 32 No Travel_Rarely 646 Research & Development
## 239 239 25 No Travel_Rarely 309 Human Resources
## 240 240 50 No Travel_Rarely 813 Research & Development
## 241 241 42 No Travel_Rarely 319 Research & Development
## 242 242 45 No Travel_Frequently 364 Research & Development
## 243 243 29 No Travel_Rarely 1328 Research & Development
## 244 244 25 Yes Travel_Rarely 383 Sales
## 245 245 29 No Travel_Rarely 718 Research & Development
## 246 246 29 No Travel_Rarely 1086 Research & Development
## 247 247 31 No Travel_Rarely 1232 Research & Development
## 248 248 32 No Travel_Rarely 234 Sales
## 249 249 41 No Travel_Frequently 1200 Research & Development
## 250 250 41 No Travel_Rarely 1276 Sales
## 251 251 33 No Non-Travel 1313 Research & Development
## 252 252 36 No Non-Travel 1229 Sales
## 253 253 45 No Travel_Rarely 252 Research & Development
## 254 254 31 Yes Travel_Rarely 359 Human Resources
## 255 255 40 No Non-Travel 218 Research & Development
## 256 256 43 No Non-Travel 343 Research & Development
## 257 257 31 No Travel_Frequently 444 Sales
## 258 258 30 No Travel_Rarely 855 Sales
## 259 259 34 No Travel_Rarely 1480 Sales
## 260 260 25 No Travel_Rarely 977 Research & Development
## 261 261 31 Yes Travel_Frequently 703 Sales
## 262 262 29 Yes Travel_Rarely 224 Research & Development
## 263 263 33 Yes Travel_Rarely 813 Research & Development
## 264 264 29 No Travel_Frequently 1404 Sales
## 265 265 24 No Travel_Rarely 1127 Research & Development
## 266 266 35 No Travel_Rarely 809 Research & Development
## 267 267 34 No Travel_Frequently 829 Research & Development
## 268 268 32 Yes Travel_Rarely 1259 Research & Development
## 269 269 33 No Travel_Frequently 1303 Research & Development
## 270 270 30 No Travel_Rarely 1176 Research & Development
## 271 271 45 No Non-Travel 589 Sales
## 272 272 34 No Travel_Rarely 1130 Research & Development
## 273 273 27 No Travel_Rarely 728 Sales
## 274 274 36 No Travel_Rarely 329 Sales
## 275 275 55 No Travel_Rarely 692 Research & Development
## 276 276 56 No Travel_Rarely 718 Research & Development
## 277 277 22 No Travel_Rarely 253 Research & Development
## 278 278 43 No Travel_Frequently 185 Research & Development
## 279 279 25 Yes Travel_Rarely 240 Sales
## 280 280 55 No Travel_Rarely 1229 Research & Development
## 281 281 43 No Travel_Rarely 1179 Sales
## 282 282 41 No Travel_Rarely 263 Research & Development
## 283 283 40 No Travel_Rarely 1194 Research & Development
## 284 284 31 No Travel_Rarely 691 Sales
## 285 285 38 No Travel_Rarely 433 Human Resources
## 286 286 33 No Travel_Rarely 589 Research & Development
## 287 287 22 Yes Travel_Rarely 391 Research & Development
## 288 288 34 No Travel_Rarely 1346 Research & Development
## 289 289 36 No Travel_Frequently 1467 Sales
## 290 290 35 No Travel_Rarely 384 Sales
## 291 291 45 No Travel_Rarely 974 Research & Development
## 292 292 36 No Non-Travel 1105 Research & Development
## 293 293 27 No Travel_Rarely 894 Research & Development
## 294 294 47 No Non-Travel 1162 Research & Development
## 295 295 40 No Travel_Rarely 898 Human Resources
## 296 296 35 No Travel_Rarely 1490 Research & Development
## 297 297 34 No Travel_Frequently 1069 Research & Development
## 298 298 34 Yes Travel_Frequently 658 Research & Development
## 299 299 31 Yes Non-Travel 335 Research & Development
## 300 300 28 Yes Travel_Rarely 1157 Research & Development
## 301 301 32 No Travel_Frequently 379 Sales
## 302 302 35 No Travel_Frequently 853 Sales
## 303 303 55 No Travel_Rarely 1441 Research & Development
## 304 304 35 No Travel_Rarely 1395 Research & Development
## 305 305 58 Yes Travel_Rarely 289 Research & Development
## 306 306 24 No Non-Travel 1269 Research & Development
## 307 307 50 No Travel_Rarely 804 Research & Development
## 308 308 34 No Non-Travel 697 Research & Development
## 309 309 55 No Travel_Frequently 135 Research & Development
## 310 310 25 No Travel_Rarely 810 Sales
## 311 311 34 No Travel_Rarely 1351 Research & Development
## 312 312 40 No Travel_Rarely 302 Research & Development
## 313 313 31 Yes Travel_Frequently 561 Research & Development
## 314 314 51 No Travel_Rarely 1169 Research & Development
## 315 315 60 No Travel_Rarely 1179 Sales
## 316 316 47 No Travel_Rarely 955 Sales
## 317 317 34 No Travel_Frequently 303 Sales
## 318 318 24 No Travel_Rarely 771 Research & Development
## 319 319 39 No Travel_Rarely 1498 Sales
## 320 320 19 No Travel_Rarely 265 Research & Development
## 321 321 32 No Non-Travel 1184 Research & Development
## 322 322 34 No Travel_Rarely 1397 Research & Development
## 323 323 30 No Travel_Frequently 1012 Research & Development
## 324 324 46 No Travel_Rarely 1003 Research & Development
## 325 325 39 No Travel_Rarely 466 Research & Development
## 326 326 27 No Travel_Rarely 618 Research & Development
## 327 327 44 No Travel_Rarely 1313 Research & Development
## 328 328 42 No Travel_Rarely 557 Research & Development
## 329 329 38 No Travel_Frequently 1394 Research & Development
## 330 330 42 No Travel_Rarely 1147 Human Resources
## 331 331 49 No Travel_Rarely 809 Research & Development
## 332 332 32 Yes Travel_Rarely 1045 Sales
## 333 333 44 Yes Travel_Frequently 429 Research & Development
## 334 334 27 No Travel_Rarely 608 Research & Development
## 335 335 59 No Non-Travel 1420 Human Resources
## 336 336 33 Yes Travel_Frequently 827 Research & Development
## 337 337 35 No Travel_Frequently 1182 Sales
## 338 338 34 No Travel_Frequently 618 Research & Development
## 339 339 50 Yes Travel_Frequently 959 Sales
## 340 340 27 No Travel_Rarely 1240 Research & Development
## 341 341 36 No Travel_Rarely 852 Research & Development
## 342 342 28 No Travel_Frequently 193 Research & Development
## 343 343 33 No Travel_Rarely 654 Research & Development
## 344 344 30 No Travel_Frequently 160 Research & Development
## 345 345 30 No Travel_Rarely 1329 Sales
## 346 346 39 No Travel_Rarely 119 Sales
## 347 347 34 No Travel_Frequently 1003 Research & Development
## 348 348 26 No Travel_Frequently 1479 Research & Development
## 349 349 44 No Non-Travel 111 Research & Development
## 350 350 56 No Travel_Rarely 832 Research & Development
## 351 351 42 No Travel_Rarely 1396 Research & Development
## 352 352 31 No Travel_Rarely 218 Sales
## 353 353 40 No Travel_Frequently 902 Research & Development
## 354 354 40 No Non-Travel 1142 Research & Development
## 355 355 41 No Travel_Rarely 796 Sales
## 356 356 34 No Travel_Rarely 1326 Sales
## 357 357 26 No Travel_Rarely 841 Research & Development
## 358 358 29 Yes Travel_Rarely 408 Research & Development
## 359 359 32 No Travel_Rarely 427 Research & Development
## 360 360 36 No Travel_Rarely 1403 Research & Development
## 361 361 52 No Travel_Rarely 699 Research & Development
## 362 362 29 Yes Travel_Frequently 746 Sales
## 363 363 52 Yes Travel_Rarely 266 Sales
## 364 364 40 No Travel_Rarely 1416 Research & Development
## 365 365 55 No Travel_Rarely 282 Research & Development
## 366 366 56 No Travel_Frequently 906 Sales
## 367 367 34 No Travel_Frequently 135 Research & Development
## 368 368 40 No Travel_Rarely 1342 Sales
## 369 369 23 No Travel_Rarely 977 Research & Development
## 370 370 32 No Travel_Rarely 1018 Research & Development
## 371 371 31 No Travel_Frequently 853 Research & Development
## 372 372 30 No Non-Travel 1398 Sales
## 373 373 45 No Travel_Frequently 1249 Research & Development
## 374 374 37 No Travel_Rarely 1470 Research & Development
## 375 375 20 No Travel_Rarely 727 Sales
## 376 376 50 No Travel_Frequently 333 Research & Development
## 377 377 36 Yes Travel_Rarely 885 Research & Development
## 378 378 42 No Travel_Rarely 419 Sales
## 379 379 29 No Travel_Rarely 942 Research & Development
## 380 380 30 Yes Travel_Rarely 138 Research & Development
## 381 381 47 No Travel_Rarely 1482 Research & Development
## 382 382 26 No Travel_Rarely 1355 Human Resources
## 383 383 48 No Travel_Rarely 1221 Sales
## 384 384 23 No Travel_Rarely 541 Sales
## 385 385 51 Yes Travel_Rarely 1323 Research & Development
## 386 386 38 No Travel_Rarely 1333 Research & Development
## 387 387 35 No Travel_Frequently 944 Sales
## 388 388 29 No Travel_Rarely 232 Research & Development
## 389 389 36 No Travel_Rarely 530 Sales
## 390 390 21 Yes Travel_Frequently 756 Sales
## 391 391 34 No Travel_Rarely 1111 Sales
## 392 392 26 No Travel_Rarely 1443 Sales
## 393 393 31 No Non-Travel 976 Research & Development
## 394 394 60 No Travel_Frequently 1499 Sales
## 395 395 42 No Travel_Frequently 1271 Research & Development
## 396 396 31 No Travel_Rarely 192 Research & Development
## 397 397 46 No Travel_Rarely 1009 Research & Development
## 398 398 34 Yes Travel_Rarely 1107 Human Resources
## 399 399 56 No Non-Travel 667 Research & Development
## 400 400 44 No Travel_Frequently 1193 Research & Development
## 401 401 30 No Travel_Rarely 317 Research & Development
## 402 402 42 No Non-Travel 926 Research & Development
## 403 403 47 No Travel_Rarely 207 Research & Development
## 404 404 36 No Travel_Rarely 711 Research & Development
## 405 405 35 No Travel_Rarely 1343 Research & Development
## 406 406 43 No Travel_Rarely 782 Research & Development
## 407 407 31 No Travel_Rarely 196 Sales
## 408 408 36 No Travel_Rarely 917 Research & Development
## 409 409 53 No Travel_Rarely 1219 Sales
## 410 410 43 No Travel_Rarely 589 Research & Development
## 411 411 36 No Travel_Rarely 1278 Human Resources
## 412 412 41 No Travel_Rarely 918 Sales
## 413 413 37 No Travel_Rarely 408 Research & Development
## 414 414 32 No Travel_Frequently 1318 Sales
## 415 415 34 Yes Travel_Frequently 296 Sales
## 416 416 35 No Non-Travel 1180 Research & Development
## 417 417 30 No Non-Travel 1116 Research & Development
## 418 418 36 No Travel_Frequently 566 Research & Development
## 419 419 37 No Travel_Rarely 977 Research & Development
## 420 420 29 No Travel_Rarely 986 Research & Development
## 421 421 34 No Travel_Rarely 1153 Research & Development
## 422 422 37 No Non-Travel 1063 Research & Development
## 423 423 31 Yes Travel_Rarely 249 Sales
## 424 424 18 No Non-Travel 1124 Research & Development
## 425 425 28 No Travel_Rarely 736 Sales
## 426 426 43 No Travel_Rarely 415 Sales
## 427 427 30 No Non-Travel 990 Research & Development
## 428 428 21 No Travel_Rarely 996 Research & Development
## 429 429 32 Yes Travel_Rarely 515 Research & Development
## 430 430 34 No Travel_Rarely 470 Research & Development
## 431 431 27 No Travel_Rarely 1377 Sales
## 432 432 40 No Non-Travel 458 Research & Development
## 433 433 49 Yes Travel_Frequently 1475 Research & Development
## 434 434 29 No Travel_Rarely 590 Research & Development
## 435 435 40 No Travel_Rarely 658 Sales
## 436 436 27 No Travel_Rarely 1130 Sales
## 437 437 28 Yes Travel_Rarely 890 Research & Development
## 438 438 26 No Travel_Rarely 157 Research & Development
## 439 439 50 Yes Travel_Rarely 869 Sales
## 440 440 38 No Travel_Rarely 827 Research & Development
## 441 441 32 No Travel_Frequently 1316 Research & Development
## 442 442 29 No Travel_Rarely 1082 Research & Development
## 443 443 28 Yes Travel_Rarely 529 Research & Development
## 444 444 44 No Travel_Rarely 528 Human Resources
## 445 445 46 No Travel_Rarely 734 Research & Development
## 446 446 47 No Travel_Rarely 465 Research & Development
## 447 447 38 No Travel_Frequently 1189 Research & Development
## 448 448 42 No Travel_Rarely 1128 Research & Development
## 449 449 38 No Travel_Frequently 653 Research & Development
## 450 450 45 No Non-Travel 336 Sales
## 451 451 33 No Travel_Rarely 501 Research & Development
## 452 452 44 No Travel_Rarely 1467 Research & Development
## 453 453 35 Yes Travel_Rarely 303 Sales
## 454 454 33 No Travel_Rarely 217 Sales
## 455 455 48 No Travel_Rarely 1236 Research & Development
## 456 456 40 No Travel_Rarely 611 Sales
## 457 457 31 No Travel_Rarely 1112 Sales
## 458 458 51 No Travel_Rarely 632 Sales
## 459 459 56 No Travel_Rarely 1255 Research & Development
## 460 460 36 No Travel_Rarely 172 Research & Development
## 461 461 42 No Travel_Frequently 1474 Research & Development
## 462 462 36 No Travel_Rarely 311 Research & Development
## 463 463 50 No Travel_Frequently 809 Sales
## 464 464 31 No Travel_Frequently 163 Research & Development
## 465 465 43 Yes Travel_Frequently 807 Research & Development
## 466 466 38 No Travel_Rarely 371 Research & Development
## 467 467 36 No Travel_Rarely 1157 Sales
## 468 468 36 No Travel_Rarely 132 Research & Development
## 469 469 26 Yes Non-Travel 265 Sales
## 470 470 53 No Travel_Rarely 1084 Research & Development
## 471 471 27 No Travel_Rarely 1354 Research & Development
## 472 472 29 Yes Travel_Frequently 459 Research & Development
## 473 473 45 No Travel_Rarely 193 Research & Development
## 474 474 45 No Travel_Rarely 1316 Research & Development
## 475 475 28 No Travel_Rarely 895 Research & Development
## 476 476 46 No Travel_Frequently 1211 Sales
## 477 477 37 No Travel_Rarely 342 Sales
## 478 478 26 No Travel_Rarely 775 Sales
## 479 479 52 No Travel_Rarely 258 Research & Development
## 480 480 37 No Travel_Rarely 161 Research & Development
## 481 481 29 No Travel_Rarely 136 Research & Development
## 482 482 31 No Travel_Rarely 1222 Research & Development
## 483 483 34 No Travel_Frequently 735 Research & Development
## 484 484 56 No Travel_Rarely 713 Research & Development
## 485 485 58 Yes Travel_Rarely 147 Research & Development
## 486 486 41 Yes Travel_Rarely 1102 Sales
## 487 487 30 Yes Travel_Rarely 945 Sales
## 488 488 31 No Travel_Rarely 670 Research & Development
## 489 489 48 Yes Travel_Rarely 626 Research & Development
## 490 490 34 No Travel_Rarely 970 Research & Development
## 491 491 49 No Travel_Frequently 636 Research & Development
## 492 492 50 No Travel_Rarely 1322 Research & Development
## 493 493 29 No Travel_Rarely 469 Sales
## 494 494 35 No Travel_Rarely 1029 Research & Development
## 495 495 36 No Travel_Rarely 1266 Sales
## 496 496 51 No Travel_Rarely 1318 Sales
## 497 497 45 No Travel_Rarely 192 Research & Development
## 498 498 37 No Travel_Frequently 889 Research & Development
## 499 499 36 No Travel_Rarely 1299 Research & Development
## 500 500 39 No Non-Travel 1251 Sales
## 501 501 58 Yes Travel_Rarely 601 Research & Development
## 502 502 28 Yes Travel_Rarely 103 Research & Development
## 503 503 48 Yes Travel_Frequently 708 Sales
## 504 504 29 No Travel_Rarely 1389 Research & Development
## 505 505 47 No Travel_Rarely 359 Research & Development
## 506 506 32 No Travel_Rarely 824 Research & Development
## 507 507 33 Yes Travel_Rarely 350 Sales
## 508 508 51 No Travel_Frequently 541 Sales
## 509 509 37 No Travel_Frequently 319 Sales
## 510 510 41 Yes Travel_Rarely 1360 Research & Development
## 511 511 38 No Travel_Rarely 345 Sales
## 512 512 39 No Non-Travel 1485 Research & Development
## 513 513 32 No Travel_Frequently 585 Research & Development
## 514 514 33 No Travel_Frequently 515 Research & Development
## 515 515 21 No Non-Travel 895 Sales
## 516 516 51 No Travel_Rarely 1302 Research & Development
## 517 517 25 Yes Travel_Rarely 867 Sales
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## 127 Research Scientist 1 Single 3919
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## 130 Sales Executive 1 Divorced 13225
## 131 Sales Executive 2 Divorced 4187
## 132 Sales Executive 4 Single 4507
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## 138 Manufacturing Director 3 Married 10739
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## 142 Research Scientist 3 Divorced 2372
## 143 Manufacturing Director 3 Divorced 10845
## 144 Sales Executive 4 Married 6502
## 145 Healthcare Representative 3 Divorced 6377
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## 147 Research Scientist 2 Married 2756
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## 149 Laboratory Technician 2 Single 3597
## 150 Manufacturing Director 1 Divorced 4877
## 151 Sales Executive 1 Divorced 4233
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## 154 Healthcare Representative 2 Single 6870
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## 157 Sales Executive 2 Married 5677
## 158 Healthcare Representative 4 Divorced 12169
## 159 Manufacturing Director 1 Married 10820
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## 162 Healthcare Representative 1 Single 8722
## 163 Sales Executive 3 Divorced 7104
## 164 Research Scientist 1 Single 6545
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## 170 Research Scientist 4 Divorced 2514
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## 173 Healthcare Representative 3 Married 10527
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## 180 Sales Executive 4 Single 8686
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## 193 Manufacturing Director 3 Divorced 4810
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## 227 Laboratory Technician 4 Divorced 1951
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## 2 17544 1 Y No 14
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## OverTimeBinary MonthlyIncomeScale AgeScale EnvironmentSatisfactionScale
## 1 0 -0.4322304865 -0.54097720 -0.6377699
## 2 0 2.8787757404 0.35528590 0.2718364
## 3 0 0.6463532276 -0.20487853 0.2718364
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## 10 0 -0.2886803249 -0.31691142 1.1814426
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## 13 0 0.8331859379 -0.20487853 0.2718364
## 14 0 -0.8513534583 -0.76504297 0.2718364
## 15 0 -0.6453807265 1.02748323 1.1814426
## 16 0 0.1178276326 -0.65301008 1.1814426
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## 18 0 -0.2462677772 1.02748323 0.2718364
## 19 1 -0.7521733467 -0.31691142 1.1814426
## 20 0 -0.2952053323 0.80341745 -0.6377699
## 21 1 0.5343406015 -0.09284565 -0.6377699
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## 23 1 -0.1547001741 0.69138457 1.1814426
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## 25 0 0.1215251368 -0.42894431 -0.6377699
## 26 0 2.5714478945 0.80341745 -0.6377699
## 27 0 0.7685883651 0.13122013 0.2718364
## 28 1 0.3988379489 -0.42894431 -1.5473762
## 29 1 0.8825584934 1.81171344 -1.5473762
## 30 0 -0.4637680220 1.69968055 1.1814426
## 31 0 -0.3745929217 -0.54097720 1.1814426
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## 51 0 -0.8202509233 0.13122013 0.2718364
## 52 1 2.8950882588 2.37187788 1.1814426
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## 58 1 -0.3626304082 -0.87707586 -0.6377699
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## 60 1 -1.1467187908 -1.32520741 0.2718364
## 61 1 0.8558059633 -0.09284565 0.2718364
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## 63 0 -0.7228108136 -0.65301008 -1.5473762
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## 73 1 -0.1031526161 -0.20487853 -0.6377699
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## 77 1 0.1506701696 -0.31691142 1.1814426
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## 83 0 -0.2325652618 0.13122013 -1.5473762
## 84 1 -0.0905376019 0.01918724 0.2718364
## 85 1 -0.2132077400 -0.09284565 0.2718364
## 86 1 1.5955242960 2.48391077 0.2718364
## 87 0 -0.3110828502 1.13951612 1.1814426
## 88 1 -0.5757806481 -0.20487853 0.2718364
## 89 0 0.5080230718 -1.10114163 1.1814426
## 90 0 2.7310930742 1.02748323 -0.6377699
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## OverTimeScale YearsAtCompanyScale
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head(employeeClean)
## ID Age Attrition BusinessTravel DailyRate Department
## 1 1 32 No Travel_Rarely 117 Sales
## 2 2 40 No Travel_Rarely 1308 Research & Development
## 3 3 35 No Travel_Frequently 200 Research & Development
## 4 4 32 No Travel_Rarely 801 Sales
## 5 5 24 No Travel_Frequently 567 Research & Development
## 6 6 27 No Travel_Frequently 294 Research & Development
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 13 4 Life Sciences 1 859
## 2 14 3 Medical 1 1128
## 3 18 2 Life Sciences 1 1412
## 4 1 4 Marketing 1 2016
## 5 2 1 Technical Degree 1 1646
## 6 10 2 Life Sciences 1 733
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 2 Male 73 3 2
## 2 3 Male 44 2 5
## 3 3 Male 60 3 3
## 4 3 Female 48 3 3
## 5 1 Female 32 3 1
## 6 4 Male 32 3 3
## JobRole JobSatisfaction MaritalStatus MonthlyIncome
## 1 Sales Executive 4 Divorced 4403
## 2 Research Director 3 Single 19626
## 3 Manufacturing Director 4 Single 9362
## 4 Sales Executive 4 Married 10422
## 5 Research Scientist 4 Single 3760
## 6 Manufacturing Director 1 Divorced 8793
## MonthlyRate NumCompaniesWorked Over18 OverTime PercentSalaryHike
## 1 9250 2 Y No 11
## 2 17544 1 Y No 14
## 3 19944 2 Y No 11
## 4 24032 1 Y No 19
## 5 17218 1 Y Yes 13
## 6 4809 1 Y No 21
## PerformanceRating RelationshipSatisfaction StandardHours StockOptionLevel
## 1 3 3 80 1
## 2 3 1 80 0
## 3 3 3 80 0
## 4 3 3 80 2
## 5 3 3 80 0
## 6 4 3 80 2
## TotalWorkingYears TrainingTimesLastYear WorkLifeBalance YearsAtCompany
## 1 8 3 2 5
## 2 21 2 4 20
## 3 10 2 3 2
## 4 14 3 3 14
## 5 6 2 3 6
## 6 9 4 2 9
## YearsInCurrentRole YearsSinceLastPromotion YearsWithCurrManager
## 1 2 0 3
## 2 7 4 9
## 3 2 2 2
## 4 10 5 7
## 5 3 1 3
## 6 7 1 7
## OverTimeBinary MonthlyIncomeScale AgeScale EnvironmentSatisfactionScale
## 1 0 -0.4322305 -0.5409772 -0.6377699
## 2 0 2.8787757 0.3552859 0.2718364
## 3 0 0.6463532 -0.2048785 0.2718364
## 4 0 0.8769035 -0.5409772 0.2718364
## 5 1 -0.5720831 -1.4372403 -1.5473762
## 6 0 0.5225956 -1.1011416 1.1814426
## OverTimeScale YearsAtCompanyScale
## 1 -0.6381993 -0.3258690
## 2 -0.6381993 2.1653966
## 3 -0.6381993 -0.8241221
## 4 -0.6381993 1.1688904
## 5 1.5651077 -0.1597846
## 6 -0.6381993 0.3384685
#Plotted correlation between Attrition and other columns
#Attrition Count
ggplotly(employeeClean %>% ggplot(aes(x = Attrition, fill = Attrition)) + geom_bar() + labs(title = "Attrition Count", x = "Attrition"))
#Attrition Vs. Age
ggplotly(employeeClean %>% ggplot(aes(x = Age, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Age"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition vs. Business Travel
ggplotly(employeeClean %>% ggplot(aes(x = BusinessTravel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Business Travel"))
#Categorizing Daily Rates into groups
min(employeeClean$DailyRate)
## [1] 103
max(employeeClean$DailyRate)
## [1] 1499
employeeClean$DailyRateGroups <- as.factor(ifelse(employeeClean$DailyRate<501, "0-500", ifelse(employeeClean$DailyRate<1001, "501-1000", ifelse(employeeClean$DailyRate<1501, "1001-1500"))))
#Attrition vs. Daily Rate
ggplotly(employeeClean %>% ggplot(aes(x = DailyRateGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Daily Rate"))
#Attrition vs. Department
ggplotly(employeeClean %>% ggplot(aes(x = Department, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Department"))
#Categorizing Distance from Home into groups
min(employeeClean$DistanceFromHome)
## [1] 1
max(employeeClean$DistanceFromHome)
## [1] 29
employeeClean$DistanceFromHomeGroups <- as.factor(ifelse(employeeClean$DistanceFromHome<11, "0-10", ifelse(employeeClean$DistanceFromHome<21, "11-20", ifelse(employeeClean$DistanceFromHome<31, "21-30"))))
#Attrition vs. Distance From Home
ggplotly(employeeClean %>% ggplot(aes(x = DistanceFromHomeGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Distance From Home"))
#Converting Education into Factors
employeeClean$EducationFactor <- as.factor(employeeClean$Education)
#Attrition vs. Education
ggplotly(employeeClean %>% ggplot(aes(x = EducationFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Education"))
#Converting Education Field into Factors
employeeClean$EducationFieldFactor <- as.factor(employeeClean$EducationField)
#Attrition vs. Education Field
ggplotly(employeeClean %>% ggplot(aes(x = EducationFieldFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Education Field"))
#Converting Environment Satisfaction into Factors
employeeClean$EnvironmentSatisfactionFactor <- as.factor(employeeClean$EnvironmentSatisfaction)
#Attrition vs. Environment Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = EnvironmentSatisfactionFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Environment Satisfaction"))
#Attrition vs. Gender
ggplotly(employeeClean %>% ggplot(aes(x = Gender, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Gender"))
#Categorizing Hourly Rates into groups
min(employeeClean$HourlyRate)
## [1] 30
max(employeeClean$HourlyRate)
## [1] 100
employeeClean$HourlyRateGroups <- as.factor(ifelse(employeeClean$HourlyRate<56, "0-55", ifelse(employeeClean$HourlyRate<81, "56-80", ifelse(employeeClean$HourlyRate<106, "81-105"))))
#Attrition vs. Hourly Rates
ggplotly(employeeClean %>% ggplot(aes(x = HourlyRateGroups, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Hourly Rates"))
#Attrition vs. Job Involvement
ggplotly(employeeClean %>% ggplot(aes(x = JobInvolvement, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Job Involvement"))
#Attrition vs. Job Level
ggplotly(employeeClean %>% ggplot(aes(x = JobLevel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Job Level"))
#Attrition vs. Job Role
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Job Role"))
#Attrition Vs. Job Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = JobSatisfaction, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Job Satisfaction"))
#Attrition Vs. Marital Status
ggplotly(employeeClean %>% ggplot(aes(x = MaritalStatus, fill = Attrition))+ geom_bar() + ggtitle("Attrition Vs. Marital Status"))
#Attrition Vs. Monthly Income
ggplotly(employeeClean %>% ggplot(aes(x = MonthlyIncome, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Monthly Income"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Monthly Rate
ggplotly(employeeClean %>% ggplot(aes(x = MonthlyRate, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Monthly Rate"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Number of Companies Worked
ggplotly(employeeClean %>% ggplot(aes(x = NumCompaniesWorked, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Number of Companies Worked"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Overtime
ggplotly(employeeClean %>% ggplot(aes(x = OverTime, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Overtime"))
#Attrition Vs. Percent of Salary Hike
ggplotly(employeeClean %>% ggplot(aes(x = PercentSalaryHike, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Percent of Salary Hike"))
#Converting Performance Rating into Factors
employeeClean$PerformanceRatingFactor <- as.factor(employeeClean$PerformanceRating)
#Attrition Vs. Performance Rating
ggplotly(employeeClean %>% ggplot(aes(x = PerformanceRatingFactor, fill = Attrition)) + geom_bar() + ggtitle("Attrition Vs. Performance Rating"))
#Attrition Vs. Relationship Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = RelationshipSatisfaction, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Relationship Satisfaction"))
#Attrition Vs. Stock Option Level
ggplotly(employeeClean %>% ggplot(aes(x = StockOptionLevel, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Stock Option Level"))
#Attrition Vs. Total Working Years
ggplotly(employeeClean %>% ggplot(aes(x = TotalWorkingYears, fill = Attrition)) + geom_bar(position = "fill") + ggtitle("Attrition Vs. Total Working Years"))
#Attrition Vs. Training Times Last Year
ggplotly(employeeClean %>% ggplot(aes(x = TrainingTimesLastYear, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Training Times Last Year"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Work Life Balance
ggplotly(employeeClean %>% ggplot(aes(x = WorkLifeBalance, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Work Life Balance"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Years at the Company
ggplotly(employeeClean %>% ggplot(aes(x = YearsAtCompany, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years At the Company"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Years in Current Role
ggplotly(employeeClean %>% ggplot(aes(x = YearsInCurrentRole, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years in Current Role"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Years Since Last Promotion
ggplotly(employeeClean %>% ggplot(aes(x = YearsSinceLastPromotion, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years Since Last Promotion"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Attrition Vs. Years with Current Manager
ggplotly(employeeClean %>% ggplot(aes(x = YearsWithCurrManager, fill = Attrition)) + geom_histogram() + ggtitle("Attrition Vs. Years with Current Manager"))
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#Job Satisfaction Vs. Job Involvement
ggplotly(employeeClean %>% ggplot(aes(x = JobSatisfaction, y = JobInvolvement, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Satisfaction Vs. Job Involvement"))
#Job Role Vs. Job Satisfaction
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, y = JobSatisfaction, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Role Vs. Job Satisfaction"))
#Job Role Vs. Work Life Balance
ggplotly(employeeClean %>% ggplot(aes(x = JobRole, y = WorkLifeBalance, color = Attrition)) + geom_point(position = "jitter") + ggtitle("Job Role Vs. Work Life Balance"))
#Ran test to find K
# Loop for many k and the average of many training / test partition
set.seed(4)
iterations = 500
numks = 30
masterAcc = matrix(nrow = iterations, ncol = numks)
for(j in 1:iterations)
{
accs = data.frame(accuracy = numeric(30), k = numeric(30))
trainIndices = sample(1:dim(employeeClean)[1], round(0.70* dim(employeeClean)[1]))
train = employeeClean[trainIndices,]
test = employeeClean[-trainIndices,]
for(i in 1:numks)
{
classifications = knn(train[,c(37,38,40)], test[,c(37,38,40)], train$Attrition, prob = TRUE, k = i)
table(classifications, test$Attrition)
cm = confusionMatrix(table(classifications, test$Attrition))
masterAcc[j,i] = cm$overall[1]
}
}
MeanAcc = colMeans(masterAcc)
plot(seq(1,numks,1),MeanAcc, type = "l")
#KNN Model
#KNN
classifications = knn(train[,c(37,38,40)], test[,c(37,38,40)], train$Attrition, prob = TRUE, k = 15)
classifications
## [1] No No No No No No No No Yes No No No No No Yes No No No
## [19] No No Yes No No No No No No No No No No No No No No No
## [37] No No No No No No No No No No No No No No No No No No
## [55] No No No No No No No No No No No No No No No No No No
## [73] No Yes No No No No No No No No No No No No No No No No
## [91] No No No No No No No No No No No No No No No No No No
## [109] No No No No No No No No No Yes No No No No No No No No
## [127] No No No No No Yes No No No Yes No No No No No Yes Yes No
## [145] No No No No No No No No No No No No No No Yes No No No
## [163] No No No No No No No No No No No No No No No No No No
## [181] No Yes Yes No No No No No Yes No No No No No No No No No
## [199] No No No No No No No No No No No No No No No No No No
## [217] No No No Yes No No No No Yes No No No No No No No No No
## [235] No No No No No No No No No No No No No No No No No No
## [253] No No No No No No No No No
## attr(,"prob")
## [1] 1.0000000 1.0000000 0.9333333 0.6666667 0.8000000 1.0000000 0.8666667
## [8] 0.8000000 0.5333333 0.9333333 0.8000000 0.9333333 0.6666667 0.9333333
## [15] 0.7333333 1.0000000 0.9333333 0.6666667 0.6000000 0.8666667 0.5333333
## [22] 0.8666667 0.8666667 1.0000000 0.9333333 0.9333333 0.6666667 1.0000000
## [29] 0.8666667 0.6000000 0.8000000 0.8666667 0.8666667 0.7333333 0.8666667
## [36] 0.9333333 1.0000000 0.8000000 0.8666667 0.9333333 1.0000000 0.6666667
## [43] 0.9333333 1.0000000 0.9333333 0.8666667 0.8666667 0.9333333 0.9333333
## [50] 0.9333333 0.7333333 0.9333333 1.0000000 0.8666667 1.0000000 0.8666667
## [57] 0.8000000 1.0000000 0.8666667 0.9333333 0.6000000 0.8666667 0.7333333
## [64] 0.8000000 0.9333333 0.8000000 1.0000000 0.9333333 0.9333333 1.0000000
## [71] 0.8666667 1.0000000 0.9333333 0.5333333 0.8000000 0.8000000 0.8666667
## [78] 0.9333333 1.0000000 0.8000000 0.9333333 0.6000000 0.6000000 0.9333333
## [85] 1.0000000 1.0000000 0.8666667 0.8000000 0.6666667 0.8666667 1.0000000
## [92] 0.8666667 0.8000000 0.8666667 0.9333333 1.0000000 0.9333333 0.7333333
## [99] 0.7333333 0.6666667 0.6000000 0.9333333 0.8666667 0.9333333 1.0000000
## [106] 0.9333333 0.6000000 1.0000000 0.7333333 0.7333333 0.6666667 0.9333333
## [113] 0.8000000 0.7333333 0.9333333 1.0000000 0.9333333 0.7333333 0.9333333
## [120] 0.8000000 0.9333333 0.7333333 0.6000000 0.9333333 1.0000000 0.8000000
## [127] 0.8000000 1.0000000 0.8666667 0.8000000 0.9333333 0.5333333 0.6000000
## [134] 1.0000000 0.8000000 0.5333333 0.8000000 0.9333333 0.6000000 0.8666667
## [141] 0.6000000 0.5333333 0.5333333 1.0000000 1.0000000 0.8666667 1.0000000
## [148] 0.6666667 0.9333333 0.9333333 0.8666667 0.9333333 0.8000000 0.9333333
## [155] 0.6000000 0.6000000 0.9333333 0.9333333 0.7333333 0.8666667 1.0000000
## [162] 0.8666667 0.8666667 0.9333333 0.7333333 0.6000000 0.9333333 0.9333333
## [169] 0.6666667 0.8000000 0.8000000 1.0000000 0.6666667 0.7333333 0.8000000
## [176] 0.6000000 1.0000000 0.9333333 0.8000000 0.9333333 0.6000000 0.5333333
## [183] 0.5333333 0.9333333 0.8000000 0.8000000 1.0000000 0.9333333 0.5333333
## [190] 0.9333333 0.5333333 0.8666667 1.0000000 0.9333333 0.8666667 0.9333333
## [197] 0.9333333 1.0000000 0.8666667 0.9333333 0.9333333 0.8000000 1.0000000
## [204] 0.9333333 1.0000000 0.6000000 0.8000000 0.7333333 0.8000000 0.8666667
## [211] 0.8000000 1.0000000 0.8666667 0.5333333 0.8000000 0.8666667 0.9333333
## [218] 0.9333333 0.8000000 0.5333333 0.5333333 1.0000000 0.8000000 0.7333333
## [225] 0.5333333 1.0000000 0.8000000 0.8666667 1.0000000 0.9333333 0.8000000
## [232] 0.7333333 0.8666667 0.9333333 1.0000000 0.9333333 0.8666667 0.5333333
## [239] 0.9333333 0.9333333 0.6000000 0.8666667 0.9333333 0.8000000 1.0000000
## [246] 0.9333333 0.9333333 0.9333333 0.9333333 0.8000000 0.8666667 0.8666667
## [253] 1.0000000 0.8000000 0.9333333 0.8000000 0.8000000 0.9333333 0.8666667
## [260] 0.9333333 0.8666667
## Levels: No Yes
table(classifications, test$Attrition)
##
## classifications No Yes
## No 224 22
## Yes 4 11
cm = confusionMatrix(table(classifications, test$Attrition))
cm
## Confusion Matrix and Statistics
##
##
## classifications No Yes
## No 224 22
## Yes 4 11
##
## Accuracy : 0.9004
## 95% CI : (0.8575, 0.9339)
## No Information Rate : 0.8736
## P-Value [Acc > NIR] : 0.1105729
##
## Kappa : 0.4119
##
## Mcnemar's Test P-Value : 0.0008561
##
## Sensitivity : 0.9825
## Specificity : 0.3333
## Pos Pred Value : 0.9106
## Neg Pred Value : 0.7333
## Prevalence : 0.8736
## Detection Rate : 0.8582
## Detection Prevalence : 0.9425
## Balanced Accuracy : 0.6579
##
## 'Positive' Class : No
##
# Accuracy : 0.8621, Sensitivity : 0.9381, Specificity : 0.3714
#Naive Bayes
#Selecting columns that contribute to Attrition
model = employeeClean %>% select(c("MonthlyIncome","JobRole","Age","OverTime","EnvironmentSatisfaction","DailyRate","JobLevel","TotalWorkingYears","JobInvolvement","Attrition"))
trainIndices = sample(1:dim(model)[1],round(.70 * dim(model)[1]))
train = model[trainIndices,]
test = model[-trainIndices,]
set.seed(7)
classifier1 = naiveBayes(model[,c(1,4,7)],model$Attrition)
pred = predict(classifier1,newdata=test)
CM = confusionMatrix(table(test$Attrition,pred))
CM
## Confusion Matrix and Statistics
##
## pred
## No Yes
## No 209 17
## Yes 23 12
##
## Accuracy : 0.8467
## 95% CI : (0.7972, 0.8882)
## No Information Rate : 0.8889
## P-Value [Acc > NIR] : 0.9852
##
## Kappa : 0.2885
##
## Mcnemar's Test P-Value : 0.4292
##
## Sensitivity : 0.9009
## Specificity : 0.4138
## Pos Pred Value : 0.9248
## Neg Pred Value : 0.3429
## Prevalence : 0.8889
## Detection Rate : 0.8008
## Detection Prevalence : 0.8659
## Balanced Accuracy : 0.6573
##
## 'Positive' Class : No
##
#Found useful correlations
cor(employeeClean$MonthlyIncome ,employeeClean[,c(2,5,7,8,12,14,15,16,18,20,21,25,26,27,29,30, 31,32,33,34,35,36,37)])
## Age DailyRate DistanceFromHome Education EnvironmentSatisfaction
## [1,] 0.4842883 8.790339e-05 -0.006667155 0.1271314 -0.01687744
## HourlyRate JobInvolvement JobLevel JobSatisfaction MonthlyIncome
## [1,] 0.002391151 0.0004473792 0.95164 -0.05314853 1
## MonthlyRate PercentSalaryHike PerformanceRating RelationshipSatisfaction
## [1,] 0.06459407 -0.05386594 -0.043131 -0.003884678
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## [1,] 0.01888872 0.7785112 -0.03901457 0.02080489
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## [1,] 0.491379 0.3618405 0.3159116
## YearsWithCurrManager OverTimeBinary
## [1,] 0.3284875 -0.02526885
#Linear Regression
#Changing Attrition to numeric
employeeClean$AttritionInt = if_else(employeeClean$Attrition =="Yes", 1,0)
employeeClean$OverTimeFix = ifelse(employeeClean$OverTime=="Yes",1,0)
fit = lm(AttritionInt~MonthlyIncome + OverTimeFix + JobLevel, employeeClean)
summary(fit)
##
## Call:
## lm(formula = AttritionInt ~ MonthlyIncome + OverTimeFix + JobLevel,
## data = employeeClean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.36991 -0.15245 -0.10038 -0.04723 1.05753
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.044e-01 3.042e-02 6.720 3.29e-11 ***
## MonthlyIncome -2.392e-07 8.400e-06 -0.028 0.977
## OverTimeFix 2.172e-01 2.615e-02 8.305 3.81e-16 ***
## JobLevel -5.144e-02 3.543e-02 -1.452 0.147
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.3498 on 866 degrees of freedom
## Multiple R-squared: 0.09813, Adjusted R-squared: 0.09501
## F-statistic: 31.41 on 3 and 866 DF, p-value: < 2.2e-16
confint(fit)
## 2.5 % 97.5 %
## (Intercept) 1.447253e-01 2.641407e-01
## MonthlyIncome -1.672631e-05 1.624796e-05
## OverTimeFix 1.658677e-01 2.685206e-01
## JobLevel -1.209797e-01 1.809362e-02
plot(fit)
AIC(fit)
## [1] 647.095
#Imported No Salary Data
employeeSalary = read.csv(file.choose(), header = TRUE)
#Cleaned No Salary Data
employeeSalaryClean = na.omit(employeeSalary)
head(employeeSalaryClean)
## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 2 4 Life Sciences 1 1849
## 2 13 1 Life Sciences 1 995
## 3 13 4 Marketing 1 1372
## 4 9 4 Life Sciences 1 1949
## 5 19 3 Other 1 1619
## 6 5 3 Technical Degree 1 42
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 1 Male 92 3 2
## 2 2 Female 53 3 1
## 3 1 Male 85 4 4
## 4 1 Male 66 4 1
## 5 4 Male 67 2 1
## 6 4 Male 56 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## YearsSinceLastPromotion YearsWithCurrManager
## 1 7 7
## 2 0 2
## 3 3 8
## 4 0 2
## 5 0 7
## 6 0 0
employeeSalaryClean
## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## 7 877 33 No Non-Travel 750 Sales
## 8 878 21 Yes Travel_Frequently 251 Research & Development
## 9 879 30 No Travel_Frequently 1312 Research & Development
## 10 880 51 No Travel_Rarely 1405 Research & Development
## 11 881 46 Yes Travel_Rarely 377 Sales
## 12 882 40 No Travel_Rarely 329 Research & Development
## 13 883 29 No Travel_Rarely 1176 Sales
## 14 884 27 No Travel_Frequently 829 Sales
## 15 885 29 No Travel_Rarely 1210 Sales
## 16 886 22 Yes Travel_Rarely 617 Research & Development
## 17 887 29 No Travel_Rarely 726 Research & Development
## 18 888 34 No Travel_Rarely 167 Research & Development
## 19 889 31 No Travel_Rarely 655 Research & Development
## 20 890 35 No Travel_Rarely 528 Human Resources
## 21 891 40 No Travel_Rarely 523 Research & Development
## 22 892 30 No Travel_Rarely 1288 Sales
## 23 893 46 Yes Travel_Rarely 669 Sales
## 24 894 27 No Travel_Frequently 1410 Sales
## 25 895 49 No Travel_Rarely 1490 Research & Development
## 26 896 46 No Travel_Rarely 706 Research & Development
## 27 897 33 Yes Travel_Rarely 211 Sales
## 28 898 42 No Non-Travel 495 Research & Development
## 29 899 34 No Travel_Rarely 507 Sales
## 30 900 36 No Travel_Rarely 329 Research & Development
## 31 901 27 No Travel_Rarely 591 Research & Development
## 32 902 44 No Travel_Frequently 383 Sales
## 33 903 48 No Travel_Rarely 492 Sales
## 34 904 40 No Travel_Rarely 543 Research & Development
## 35 905 45 No Travel_Rarely 1234 Sales
## 36 906 33 No Travel_Frequently 970 Sales
## 37 907 46 No Travel_Frequently 638 Research & Development
## 38 908 37 No Travel_Rarely 1192 Research & Development
## 39 909 28 Yes Travel_Rarely 1434 Research & Development
## 40 910 32 No Travel_Rarely 827 Research & Development
## 41 911 43 No Travel_Rarely 920 Research & Development
## 42 912 38 No Travel_Frequently 1444 Human Resources
## 43 913 40 No Travel_Rarely 616 Research & Development
## 44 914 34 No Travel_Rarely 1354 Research & Development
## 45 915 41 No Travel_Rarely 549 Research & Development
## 46 916 23 No Travel_Rarely 507 Research & Development
## 47 917 28 No Travel_Rarely 1217 Research & Development
## 48 918 26 No Travel_Rarely 572 Sales
## 49 919 28 No Travel_Rarely 1144 Sales
## 50 920 59 No Travel_Rarely 1324 Research & Development
## 51 921 30 No Travel_Rarely 413 Sales
## 52 922 35 No Travel_Rarely 1229 Research & Development
## 53 923 36 Yes Travel_Rarely 660 Research & Development
## 54 924 42 No Non-Travel 179 Human Resources
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## 116 1 Female 47 4 1
## 117 3 Male 48 2 1
## 118 4 Male 97 3 2
## 119 4 Female 82 3 3
## 120 3 Male 42 2 1
## 121 4 Female 42 2 2
## 122 3 Male 62 4 1
## 123 3 Male 48 3 2
## 124 2 Male 62 3 2
## 125 3 Female 85 3 2
## 126 1 Female 41 3 2
## 127 3 Male 66 3 1
## 128 4 Female 54 3 4
## 129 4 Male 92 3 3
## 130 1 Male 87 3 1
## 131 2 Male 80 3 2
## 132 2 Male 99 3 2
## 133 4 Male 45 3 2
## 134 1 Female 65 3 2
## 135 3 Female 65 3 1
## 136 4 Female 75 2 2
## 137 3 Female 31 3 1
## 138 4 Male 82 3 2
## 139 4 Female 50 3 5
## 140 2 Male 34 3 2
## 141 1 Male 61 3 3
## 142 3 Female 45 2 2
## 143 3 Female 65 2 2
## 144 4 Male 93 3 2
## 145 3 Female 52 2 2
## 146 4 Male 87 4 1
## 147 4 Female 56 2 1
## 148 3 Male 94 3 3
## 149 2 Female 41 3 3
## 150 2 Male 73 3 1
## 151 4 Male 61 3 2
## 152 4 Female 45 3 2
## 153 4 Male 41 3 2
## 154 3 Male 74 2 3
## 155 4 Male 91 2 4
## 156 4 Male 87 3 5
## 157 1 Male 62 2 2
## 158 2 Female 99 2 2
## 159 1 Female 65 3 2
## 160 2 Male 91 2 3
## 161 3 Male 36 3 2
## 162 2 Male 97 3 1
## 163 3 Male 42 2 3
## 164 2 Female 90 2 1
## 165 3 Male 81 3 2
## 166 4 Male 32 3 1
## 167 3 Female 32 3 2
## 168 3 Male 88 3 3
## 169 3 Male 65 3 3
## 170 2 Female 66 3 2
## 171 3 Male 71 2 1
## 172 3 Male 100 2 1
## 173 1 Female 94 2 3
## 174 2 Male 56 3 2
## 175 3 Male 49 3 1
## 176 1 Male 45 2 1
## 177 3 Male 81 3 2
## 178 4 Female 74 3 3
## 179 4 Female 51 3 1
## 180 1 Male 59 1 2
## 181 3 Female 78 2 3
## 182 2 Female 73 3 1
## 183 3 Female 74 3 2
## 184 3 Female 77 3 1
## 185 4 Male 87 3 1
## 186 1 Male 91 3 1
## 187 3 Male 60 2 2
## 188 4 Female 80 3 4
## 189 3 Male 89 3 2
## 190 1 Male 67 2 1
## 191 2 Male 93 4 2
## 192 3 Male 42 4 2
## 193 3 Male 30 3 2
## 194 3 Male 99 3 1
## 195 4 Male 32 1 2
## 196 2 Male 37 3 1
## 197 3 Female 98 3 1
## 198 1 Female 41 3 5
## 199 4 Male 54 3 2
## 200 4 Male 54 3 1
## 201 3 Female 98 4 1
## 202 2 Female 31 3 2
## 203 3 Male 43 4 1
## 204 3 Male 58 4 2
## 205 4 Female 89 2 2
## 206 3 Female 69 3 4
## 207 3 Female 58 3 5
## 208 2 Male 89 3 2
## 209 3 Male 30 3 2
## 210 1 Female 92 3 2
## 211 3 Male 52 2 1
## 212 3 Female 62 1 1
## 213 4 Male 33 3 1
## 214 2 Male 85 3 2
## 215 4 Male 44 2 3
## 216 4 Male 48 2 3
## 217 1 Male 51 3 2
## 218 4 Male 92 3 1
## 219 3 Male 86 3 1
## 220 4 Female 98 2 2
## 221 4 Female 39 2 2
## 222 4 Male 88 1 2
## 223 2 Male 47 3 3
## 224 2 Female 84 2 2
## 225 2 Male 85 4 2
## 226 2 Female 65 3 2
## 227 3 Female 83 2 1
## 228 3 Female 66 2 1
## 229 3 Female 75 3 1
## 230 4 Male 58 3 2
## 231 4 Female 46 3 5
## 232 4 Female 46 3 2
## 233 4 Male 39 2 2
## 234 1 Female 78 2 3
## 235 2 Male 65 3 1
## 236 4 Female 61 3 1
## 237 1 Male 42 3 1
## 238 1 Female 50 2 2
## 239 4 Female 90 3 2
## 240 2 Male 71 3 2
## 241 3 Female 52 3 2
## 242 2 Male 66 3 3
## 243 2 Male 56 3 3
## 244 2 Male 50 3 2
## 245 1 Male 84 3 3
## 246 4 Female 77 2 1
## 247 3 Male 49 3 2
## 248 3 Female 55 1 2
## 249 3 Female 37 2 3
## 250 3 Female 31 3 1
## 251 4 Male 39 2 3
## 252 1 Male 35 4 4
## 253 4 Male 48 1 2
## 254 1 Male 65 2 4
## 255 3 Female 89 4 1
## 256 3 Female 100 1 1
## 257 1 Female 55 3 1
## 258 4 Female 82 3 2
## 259 4 Male 88 3 4
## 260 2 Male 94 1 1
## 261 2 Male 73 3 3
## 262 3 Female 94 2 4
## 263 3 Female 81 3 2
## 264 4 Female 42 2 1
## 265 1 Female 41 3 1
## 266 1 Male 59 2 1
## 267 3 Female 98 3 1
## 268 3 Female 66 3 2
## 269 1 Male 76 3 3
## 270 3 Male 65 2 4
## 271 2 Male 64 2 2
## 272 3 Male 48 3 2
## 273 3 Male 78 2 3
## 274 1 Male 98 3 2
## 275 1 Male 37 3 2
## 276 4 Female 50 3 2
## 277 2 Male 82 4 2
## 278 1 Female 62 4 1
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## 281 4 Male 57 4 1
## 282 4 Male 43 1 2
## 283 4 Female 31 3 2
## 284 3 Female 79 3 1
## 285 3 Female 96 3 2
## 286 4 Female 98 3 4
## 287 2 Female 48 2 1
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## 289 4 Male 55 2 1
## 290 2 Male 84 3 2
## 291 3 Male 96 3 1
## 292 3 Female 81 3 3
## 293 4 Male 40 3 1
## 294 2 Female 59 3 3
## 295 3 Female 88 2 1
## 296 3 Female 77 2 1
## 297 1 Male 61 3 3
## 298 2 Female 83 3 2
## 299 1 Female 66 2 1
## 300 2 Male 65 4 1
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## 7 Sales Executive 2 Married 15480
## 8 Laboratory Technician 3 Single 25308
## 9 Research Scientist 3 Divorced 22310
## 10 Manufacturing Director 2 Single 24439
## 11 Sales Executive 4 Divorced 15986
## 12 Laboratory Technician 2 Married 6762
## 13 Sales Executive 3 Married 3487
## 14 Sales Executive 4 Married 24008
## 15 Sales Executive 2 Married 3687
## 16 Manufacturing Director 3 Married 10022
## 17 Healthcare Representative 3 Divorced 21143
## 18 Manufacturing Director 1 Divorced 4187
## 19 Laboratory Technician 4 Divorced 9528
## 20 Human Resources 3 Single 7108
## 21 Research Scientist 4 Single 22455
## 22 Sales Executive 2 Married 17799
## 23 Sales Executive 4 Single 13596
## 24 Sales Executive 4 Divorced 16673
## 25 Healthcare Representative 2 Divorced 20948
## 26 Manufacturing Director 4 Divorced 19989
## 27 Sales Executive 1 Single 10092
## 28 Manager 3 Married 26582
## 29 Sales Executive 1 Single 23553
## 30 Research Scientist 3 Married 11868
## 31 Laboratory Technician 2 Married 16632
## 32 Sales Executive 3 Married 9282
## 33 Sales Executive 3 Divorced 13693
## 34 Laboratory Technician 4 Married 4060
## 35 Manager 4 Married 5404
## 36 Sales Executive 2 Married 13401
## 37 Healthcare Representative 1 Married 3142
## 38 Manufacturing Director 4 Divorced 23177
## 39 Laboratory Technician 3 Single 11179
## 40 Research Scientist 1 Single 15178
## 41 Research Director 4 Married 18625
## 42 Human Resources 2 Married 5224
## 43 Laboratory Technician 1 Married 25605
## 44 Manager 1 Single 5615
## 45 Manufacturing Director 3 Single 23371
## 46 Laboratory Technician 3 Single 24812
## 47 Research Scientist 1 Married 12719
## 48 Sales Executive 4 Single 9125
## 49 Sales Representative 2 Married 23384
## 50 Laboratory Technician 1 Married 9964
## 51 Sales Representative 2 Single 18398
## 52 Laboratory Technician 4 Married 4892
## 53 Laboratory Technician 3 Divorced 7858
## 54 Human Resources 1 Married 12858
## 55 Manager 3 Married 18685
## 56 Laboratory Technician 3 Married 22495
## 57 Sales Executive 4 Married 11693
## 58 Research Director 3 Married 3376
## 59 Laboratory Technician 4 Divorced 7324
## 60 Laboratory Technician 4 Single 11864
## 61 Sales Executive 3 Divorced 12313
## 62 Research Director 4 Single 19373
## 63 Sales Executive 1 Married 19566
## 64 Laboratory Technician 4 Divorced 13384
## 65 Laboratory Technician 1 Single 13008
## 66 Laboratory Technician 1 Single 16998
## 67 Healthcare Representative 1 Divorced 12368
## 68 Manufacturing Director 4 Single 25150
## 69 Research Scientist 4 Single 5340
## 70 Sales Representative 2 Married 3692
## 71 Laboratory Technician 1 Single 21831
## 72 Sales Executive 3 Married 4658
## 73 Sales Executive 1 Single 2354
## 74 Manufacturing Director 4 Married 4658
## 75 Sales Representative 3 Single 9724
## 76 Healthcare Representative 4 Divorced 24483
## 77 Sales Representative 2 Single 4567
## 78 Research Scientist 4 Divorced 3032
## 79 Human Resources 3 Divorced 22808
## 80 Sales Executive 3 Single 10339
## 81 Research Scientist 3 Married 6161
## 82 Sales Executive 1 Married 22217
## 83 Healthcare Representative 2 Single 13848
## 84 Laboratory Technician 4 Single 19826
## 85 Laboratory Technician 2 Single 8770
## 86 Human Resources 3 Married 6595
## 87 Manufacturing Director 4 Single 21698
## 88 Laboratory Technician 3 Single 11135
## 89 Sales Executive 3 Single 11591
## 90 Research Director 2 Single 25761
## 91 Research Scientist 4 Single 22673
## 92 Research Scientist 4 Divorced 24447
## 93 Healthcare Representative 1 Divorced 4284
## 94 Human Resources 2 Married 18767
## 95 Research Scientist 4 Married 26897
## 96 Research Director 3 Divorced 16701
## 97 Research Scientist 1 Single 8489
## 98 Sales Executive 3 Married 3809
## 99 Manager 1 Married 9490
## 100 Laboratory Technician 2 Divorced 14180
## 101 Sales Executive 4 Single 5099
## 102 Healthcare Representative 4 Married 17369
## 103 Laboratory Technician 3 Single 6842
## 104 Research Scientist 2 Single 11757
## 105 Manufacturing Director 3 Divorced 24117
## 106 Research Scientist 4 Single 14961
## 107 Healthcare Representative 3 Single 13119
## 108 Research Scientist 1 Single 22154
## 109 Manufacturing Director 3 Married 23457
## 110 Manager 3 Married 12124
## 111 Sales Representative 3 Married 26204
## 112 Sales Executive 4 Married 11563
## 113 Laboratory Technician 4 Single 3300
## 114 Sales Representative 3 Single 21378
## 115 Sales Executive 4 Married 14369
## 116 Research Scientist 3 Single 15318
## 117 Research Scientist 4 Married 4223
## 118 Sales Executive 4 Married 23343
## 119 Manufacturing Director 1 Single 5083
## 120 Research Scientist 2 Single 7551
## 121 Human Resources 4 Married 7790
## 122 Research Scientist 3 Married 17616
## 123 Human Resources 4 Married 13982
## 124 Sales Executive 2 Married 25440
## 125 Sales Executive 4 Single 19899
## 126 Research Scientist 3 Single 12482
## 127 Research Scientist 3 Married 12127
## 128 Research Director 4 Single 5652
## 129 Sales Executive 4 Divorced 6812
## 130 Laboratory Technician 4 Single 18016
## 131 Human Resources 2 Divorced 10425
## 132 Sales Representative 3 Single 25751
## 133 Research Scientist 2 Divorced 25518
## 134 Manufacturing Director 4 Divorced 7389
## 135 Research Scientist 1 Married 16530
## 136 Sales Executive 4 Married 16495
## 137 Sales Representative 3 Single 13251
## 138 Healthcare Representative 4 Divorced 18899
## 139 Manager 3 Divorced 18640
## 140 Sales Representative 3 Married 16047
## 141 Manufacturing Director 3 Divorced 22573
## 142 Research Scientist 2 Divorced 15000
## 143 Sales Executive 2 Married 24624
## 144 Laboratory Technician 1 Married 6208
## 145 Sales Executive 1 Single 22967
## 146 Laboratory Technician 2 Divorced 5855
## 147 Laboratory Technician 1 Divorced 8007
## 148 Sales Executive 2 Married 11439
## 149 Sales Executive 4 Married 8053
## 150 Research Scientist 4 Single 13493
## 151 Sales Executive 2 Married 16177
## 152 Sales Executive 4 Single 15276
## 153 Research Scientist 4 Divorced 5141
## 154 Healthcare Representative 3 Married 3395
## 155 Manager 1 Divorced 12888
## 156 Manager 4 Single 15302
## 157 Human Resources 1 Married 17822
## 158 Sales Executive 4 Single 12090
## 159 Sales Executive 3 Single 24785
## 160 Human Resources 1 Married 2326
## 161 Sales Executive 2 Married 20497
## 162 Human Resources 4 Single 5033
## 163 Research Director 4 Divorced 8842
## 164 Research Scientist 3 Married 14908
## 165 Laboratory Technician 3 Divorced 23099
## 166 Research Scientist 3 Single 26999
## 167 Sales Executive 4 Single 22807
## 168 Human Resources 2 Married 6729
## 169 Research Director 3 Single 7914
## 170 Healthcare Representative 3 Married 25549
## 171 Laboratory Technician 2 Single 11652
## 172 Research Scientist 1 Single 3339
## 173 Sales Executive 4 Married 12695
## 174 Sales Executive 4 Married 2823
## 175 Research Scientist 3 Single 2122
## 176 Laboratory Technician 2 Divorced 7160
## 177 Manufacturing Director 2 Married 7653
## 178 Manager 2 Married 23364
## 179 Research Scientist 3 Single 25681
## 180 Sales Executive 4 Divorced 22098
## 181 Manufacturing Director 4 Married 14618
## 182 Laboratory Technician 4 Single 7703
## 183 Healthcare Representative 3 Divorced 2227
## 184 Research Scientist 3 Divorced 9834
## 185 Research Scientist 4 Single 6297
## 186 Laboratory Technician 1 Married 9396
## 187 Manufacturing Director 1 Married 9679
## 188 Manager 4 Married 7744
## 189 Human Resources 2 Divorced 12832
## 190 Research Scientist 2 Married 19911
## 191 Research Scientist 3 Married 2721
## 192 Manufacturing Director 4 Divorced 17000
## 193 Healthcare Representative 4 Divorced 5335
## 194 Sales Representative 4 Divorced 25103
## 195 Healthcare Representative 3 Divorced 17056
## 196 Laboratory Technician 1 Married 4344
## 197 Research Scientist 3 Married 12549
## 198 Manager 1 Married 3854
## 199 Sales Executive 1 Married 17456
## 200 Sales Representative 2 Married 9983
## 201 Sales Representative 4 Married 6527
## 202 Manufacturing Director 1 Married 4156
## 203 Sales Representative 4 Single 5050
## 204 Healthcare Representative 3 Married 9128
## 205 Sales Executive 1 Married 20328
## 206 Manager 1 Married 24097
## 207 Manager 3 Divorced 10735
## 208 Laboratory Technician 3 Divorced 18624
## 209 Research Scientist 2 Single 26285
## 210 Research Scientist 3 Divorced 12932
## 211 Research Scientist 3 Single 2725
## 212 Research Scientist 4 Married 8952
## 213 Sales Representative 1 Married 26956
## 214 Sales Executive 3 Married 18659
## 215 Manufacturing Director 3 Single 8787
## 216 Sales Executive 1 Married 23772
## 217 Sales Executive 3 Married 20943
## 218 Research Scientist 3 Married 20471
## 219 Research Scientist 4 Married 10077
## 220 Sales Executive 4 Married 7100
## 221 Sales Executive 2 Divorced 11866
## 222 Sales Executive 4 Divorced 10436
## 223 Research Director 4 Divorced 10056
## 224 Sales Executive 2 Divorced 11591
## 225 Healthcare Representative 1 Divorced 18384
## 226 Manufacturing Director 2 Married 15701
## 227 Research Scientist 1 Married 18697
## 228 Human Resources 4 Divorced 9732
## 229 Laboratory Technician 2 Married 3956
## 230 Manufacturing Director 1 Single 4992
## 231 Manager 3 Married 6499
## 232 Sales Executive 2 Divorced 22553
## 233 Sales Executive 4 Married 19682
## 234 Sales Executive 4 Married 20715
## 235 Research Scientist 4 Single 23293
## 236 Research Scientist 2 Divorced 17940
## 237 Research Scientist 1 Married 14377
## 238 Human Resources 3 Single 26894
## 239 Sales Executive 3 Single 12916
## 240 Sales Executive 1 Married 15975
## 241 Healthcare Representative 3 Married 12250
## 242 Manager 4 Married 11038
## 243 Manager 3 Married 24619
## 244 Sales Executive 3 Married 23452
## 245 Healthcare Representative 3 Single 13084
## 246 Research Scientist 1 Married 23844
## 247 Manufacturing Director 2 Single 21123
## 248 Laboratory Technician 4 Married 16392
## 249 Healthcare Representative 2 Divorced 9255
## 250 Sales Representative 3 Divorced 2912
## 251 Sales Executive 1 Divorced 16586
## 252 Manager 4 Single 16154
## 253 Research Scientist 1 Married 5771
## 254 Manager 4 Married 20462
## 255 Research Scientist 3 Married 21643
## 256 Sales Representative 1 Single 20989
## 257 Laboratory Technician 3 Married 14168
## 258 Laboratory Technician 3 Married 21821
## 259 Manager 2 Single 15896
## 260 Laboratory Technician 1 Married 6881
## 261 Research Director 3 Divorced 13523
## 262 Manager 2 Divorced 17334
## 263 Healthcare Representative 4 Married 5718
## 264 Laboratory Technician 2 Single 23826
## 265 Laboratory Technician 1 Single 10224
## 266 Laboratory Technician 1 Married 11141
## 267 Laboratory Technician 1 Married 17663
## 268 Sales Executive 1 Divorced 4297
## 269 Sales Executive 3 Divorced 9647
## 270 Research Director 3 Married 3525
## 271 Healthcare Representative 4 Married 14408
## 272 Sales Executive 2 Married 21173
## 273 Healthcare Representative 3 Single 22245
## 274 Sales Executive 4 Single 24252
## 275 Human Resources 4 Married 10503
## 276 Sales Executive 3 Single 23333
## 277 Laboratory Technician 3 Married 10228
## 278 Laboratory Technician 3 Divorced 16031
## 279 Research Scientist 4 Divorced 5598
## 280 Healthcare Representative 4 Married 15830
## 281 Research Scientist 3 Divorced 15748
## 282 Sales Executive 4 Single 20392
## 283 Research Scientist 3 Single 16885
## 284 Laboratory Technician 4 Married 22955
## 285 Manufacturing Director 1 Married 5549
## 286 Healthcare Representative 2 Single 7192
## 287 Sales Representative 3 Divorced 23522
## 288 Research Scientist 2 Married 19573
## 289 Research Scientist 3 Married 7950
## 290 Manufacturing Director 2 Divorced 2819
## 291 Research Scientist 3 Single 10826
## 292 Manufacturing Director 3 Single 15397
## 293 Laboratory Technician 4 Married 7003
## 294 Manufacturing Director 4 Single 23848
## 295 Research Scientist 3 Married 20898
## 296 Laboratory Technician 2 Married 7331
## 297 Healthcare Representative 4 Married 26542
## 298 Sales Executive 3 Single 19558
## 299 Research Scientist 3 Divorced 5013
## 300 Research Scientist 1 Married 22977
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## 7 0 Y No 13 3
## 8 1 Y No 20 4
## 9 1 Y No 25 4
## 10 3 Y No 16 3
## 11 4 Y No 11 3
## 12 3 Y No 22 4
## 13 1 Y No 14 3
## 14 0 Y No 19 3
## 15 2 Y No 19 3
## 16 0 Y Yes 19 3
## 17 8 Y No 17 3
## 18 3 Y No 14 3
## 19 3 Y No 22 4
## 20 1 Y No 17 3
## 21 1 Y No 13 3
## 22 3 Y No 12 3
## 23 1 Y No 16 3
## 24 1 Y Yes 20 4
## 25 3 Y No 14 3
## 26 3 Y No 14 3
## 27 2 Y Yes 20 4
## 28 0 Y Yes 13 3
## 29 1 Y No 12 3
## 30 4 Y No 13 3
## 31 9 Y No 12 3
## 32 7 Y No 12 3
## 33 8 Y No 14 3
## 34 8 Y No 19 3
## 35 3 Y No 13 3
## 36 0 Y No 17 3
## 37 2 Y Yes 13 3
## 38 7 Y No 16 3
## 39 1 Y Yes 13 3
## 40 1 Y No 13 3
## 41 3 Y No 14 3
## 42 0 Y Yes 11 3
## 43 4 Y No 17 3
## 44 2 Y No 12 3
## 45 6 Y No 14 3
## 46 0 Y No 14 3
## 47 1 Y No 25 4
## 48 1 Y No 13 3
## 49 1 Y No 22 4
## 50 4 Y Yes 20 4
## 51 0 Y No 14 3
## 52 1 Y No 19 3
## 53 7 Y No 14 3
## 54 7 Y No 16 3
## 55 3 Y No 25 4
## 56 3 Y Yes 13 3
## 57 1 Y No 15 3
## 58 3 Y No 12 3
## 59 1 Y Yes 13 3
## 60 0 Y No 13 3
## 61 1 Y Yes 14 3
## 62 3 Y No 15 3
## 63 1 Y No 16 3
## 64 9 Y Yes 14 3
## 65 1 Y No 19 3
## 66 2 Y Yes 11 3
## 67 7 Y No 16 3
## 68 2 Y No 15 3
## 69 7 Y No 13 3
## 70 1 Y No 19 3
## 71 3 Y No 14 3
## 72 2 Y No 11 3
## 73 7 Y No 11 3
## 74 0 Y No 18 3
## 75 1 Y No 12 3
## 76 1 Y No 19 3
## 77 1 Y No 13 3
## 78 1 Y No 22 4
## 79 0 Y Yes 11 3
## 80 4 Y Yes 12 3
## 81 3 Y No 22 4
## 82 1 Y No 14 3
## 83 3 Y No 15 3
## 84 0 Y Yes 14 3
## 85 9 Y No 15 3
## 86 4 Y No 21 4
## 87 4 Y No 11 3
## 88 9 Y No 12 3
## 89 3 Y Yes 16 3
## 90 7 Y Yes 12 3
## 91 1 Y No 19 3
## 92 1 Y No 17 3
## 93 2 Y No 15 3
## 94 9 Y No 15 3
## 95 1 Y No 11 3
## 96 5 Y Yes 12 3
## 97 1 Y No 14 3
## 98 1 Y No 13 3
## 99 2 Y No 22 4
## 100 2 Y Yes 13 3
## 101 1 Y No 14 3
## 102 0 Y Yes 11 3
## 103 0 Y Yes 11 3
## 104 1 Y No 13 3
## 105 1 Y No 15 3
## 106 1 Y Yes 13 3
## 107 2 Y No 13 3
## 108 0 Y No 13 3
## 109 1 Y Yes 20 4
## 110 2 Y No 13 3
## 111 0 Y No 23 4
## 112 2 Y Yes 19 3
## 113 7 Y No 15 3
## 114 0 Y No 18 3
## 115 4 Y No 13 3
## 116 3 Y Yes 14 3
## 117 0 Y Yes 11 3
## 118 4 Y No 12 3
## 119 1 Y Yes 13 3
## 120 0 Y Yes 16 3
## 121 8 Y No 11 3
## 122 1 Y No 16 3
## 123 0 Y Yes 19 3
## 124 5 Y No 12 3
## 125 1 Y Yes 13 3
## 126 1 Y No 14 3
## 127 0 Y No 17 3
## 128 6 Y No 19 3
## 129 6 Y No 13 3
## 130 1 Y Yes 24 4
## 131 8 Y Yes 22 4
## 132 3 Y No 19 3
## 133 0 Y No 13 3
## 134 5 Y No 13 3
## 135 8 Y No 12 3
## 136 3 Y Yes 12 3
## 137 1 Y No 19 3
## 138 9 Y No 14 3
## 139 3 Y No 18 3
## 140 2 Y Yes 20 4
## 141 6 Y No 11 3
## 142 6 Y No 15 3
## 143 1 Y Yes 11 3
## 144 4 Y No 17 3
## 145 5 Y No 15 3
## 146 5 Y No 12 3
## 147 0 Y Yes 11 3
## 148 1 Y No 13 3
## 149 2 Y No 12 3
## 150 1 Y No 15 3
## 151 0 Y No 19 3
## 152 4 Y No 15 3
## 153 8 Y No 14 3
## 154 3 Y No 23 4
## 155 4 Y No 13 3
## 156 2 Y No 13 3
## 157 3 Y No 12 3
## 158 1 Y Yes 11 3
## 159 9 Y No 14 3
## 160 9 Y No 14 3
## 161 0 Y Yes 13 3
## 162 0 Y No 13 3
## 163 1 Y Yes 16 3
## 164 1 Y Yes 13 3
## 165 3 Y No 11 3
## 166 1 Y Yes 11 3
## 167 1 Y No 23 4
## 168 2 Y No 15 3
## 169 7 Y No 21 4
## 170 4 Y No 12 3
## 171 0 Y No 11 3
## 172 3 Y Yes 11 3
## 173 0 Y No 19 3
## 174 1 Y Yes 14 3
## 175 1 Y No 14 3
## 176 1 Y No 15 3
## 177 4 Y No 11 3
## 178 6 Y No 11 3
## 179 1 Y Yes 13 3
## 180 6 Y Yes 14 3
## 181 0 Y No 16 3
## 182 1 Y No 13 3
## 183 4 Y Yes 14 3
## 184 5 Y No 18 3
## 185 2 Y No 13 3
## 186 5 Y No 13 3
## 187 5 Y No 19 3
## 188 5 Y Yes 22 4
## 189 2 Y No 13 3
## 190 0 Y No 17 3
## 191 0 Y No 24 4
## 192 1 Y No 13 3
## 193 3 Y No 23 4
## 194 1 Y Yes 21 4
## 195 2 Y Yes 13 3
## 196 1 Y No 14 3
## 197 2 Y No 14 3
## 198 5 Y No 11 3
## 199 0 Y No 14 3
## 200 7 Y No 15 3
## 201 8 Y No 14 3
## 202 1 Y No 12 3
## 203 1 Y No 17 3
## 204 3 Y No 16 3
## 205 4 Y No 16 3
## 206 8 Y No 23 4
## 207 4 Y No 11 3
## 208 1 Y No 11 3
## 209 4 Y No 12 3
## 210 2 Y No 11 3
## 211 2 Y No 14 3
## 212 1 Y No 12 3
## 213 1 Y No 19 3
## 214 9 Y No 11 3
## 215 0 Y No 21 4
## 216 5 Y Yes 21 4
## 217 1 Y No 19 3
## 218 6 Y Yes 13 3
## 219 0 Y Yes 12 3
## 220 1 Y Yes 11 3
## 221 1 Y Yes 14 3
## 222 1 Y No 24 4
## 223 1 Y Yes 14 3
## 224 7 Y No 12 3
## 225 1 Y No 12 3
## 226 6 Y No 12 3
## 227 2 Y No 14 3
## 228 6 Y No 11 3
## 229 1 Y No 13 3
## 230 1 Y No 15 3
## 231 1 Y No 14 3
## 232 7 Y No 12 3
## 233 3 Y No 18 3
## 234 7 Y Yes 18 3
## 235 2 Y No 18 3
## 236 0 Y No 14 3
## 237 1 Y Yes 14 3
## 238 4 Y No 11 3
## 239 1 Y No 14 3
## 240 0 Y No 16 3
## 241 1 Y No 12 3
## 242 3 Y Yes 14 3
## 243 7 Y Yes 12 3
## 244 3 Y Yes 14 3
## 245 2 Y No 23 4
## 246 0 Y No 19 3
## 247 2 Y Yes 12 3
## 248 0 Y No 11 3
## 249 2 Y Yes 13 3
## 250 1 Y Yes 18 3
## 251 4 Y Yes 13 3
## 252 2 Y No 22 4
## 253 1 Y No 21 4
## 254 9 Y No 23 4
## 255 0 Y No 17 3
## 256 0 Y No 21 4
## 257 1 Y Yes 16 3
## 258 8 Y No 20 4
## 259 1 Y No 19 3
## 260 1 Y No 15 3
## 261 9 Y No 12 3
## 262 6 Y Yes 13 3
## 263 1 Y No 13 3
## 264 1 Y No 22 4
## 265 7 Y No 22 4
## 266 1 Y No 16 3
## 267 6 Y No 20 4
## 268 0 Y No 17 3
## 269 0 Y No 12 3
## 270 1 Y No 24 4
## 271 0 Y No 21 4
## 272 0 Y No 11 3
## 273 7 Y No 14 3
## 274 1 Y No 14 3
## 275 4 Y Yes 11 3
## 276 8 Y No 15 3
## 277 2 Y No 12 3
## 278 8 Y No 12 3
## 279 1 Y No 15 3
## 280 1 Y No 19 3
## 281 1 Y No 11 3
## 282 3 Y No 20 4
## 283 3 Y No 12 3
## 284 1 Y Yes 11 3
## 285 1 Y No 14 3
## 286 3 Y No 18 3
## 287 6 Y Yes 19 3
## 288 4 Y Yes 22 4
## 289 1 Y No 13 3
## 290 6 Y No 20 4
## 291 1 Y Yes 11 3
## 292 4 Y Yes 14 3
## 293 1 Y No 13 3
## 294 4 Y No 17 3
## 295 1 Y Yes 14 3
## 296 1 Y No 20 4
## 297 4 Y No 20 4
## 298 0 Y No 11 3
## 299 0 Y No 12 3
## 300 1 Y Yes 12 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## 7 1 80 1 8
## 8 3 80 0 2
## 9 3 80 3 10
## 10 2 80 0 29
## 11 1 80 1 28
## 12 3 80 1 7
## 13 1 80 1 6
## 14 2 80 1 5
## 15 2 80 2 10
## 16 1 80 1 4
## 17 4 80 2 11
## 18 3 80 1 7
## 19 4 80 1 10
## 20 2 80 0 6
## 21 3 80 0 9
## 22 2 80 1 9
## 23 4 80 0 9
## 24 2 80 2 6
## 25 2 80 2 29
## 26 3 80 1 12
## 27 3 80 0 11
## 28 4 80 0 21
## 29 4 80 0 10
## 30 2 80 1 6
## 31 4 80 1 6
## 32 3 80 1 11
## 33 3 80 1 18
## 34 3 80 2 8
## 35 2 80 1 26
## 36 3 80 1 4
## 37 3 80 1 21
## 38 3 80 2 8
## 39 3 80 0 2
## 40 4 80 0 1
## 41 2 80 1 25
## 42 2 80 1 7
## 43 4 80 1 7
## 44 4 80 0 14
## 45 2 80 0 8
## 46 2 80 0 5
## 47 3 80 1 3
## 48 1 80 0 5
## 49 2 80 0 1
## 50 1 80 3 12
## 51 1 80 0 4
## 52 4 80 0 1
## 53 2 80 1 9
## 54 1 80 1 10
## 55 3 80 1 36
## 56 3 80 1 10
## 57 3 80 2 10
## 58 1 80 1 20
## 59 2 80 2 1
## 60 3 80 0 8
## 61 3 80 1 15
## 62 4 80 0 10
## 63 3 80 1 10
## 64 4 80 1 3
## 65 2 80 0 1
## 66 3 80 0 4
## 67 3 80 1 17
## 68 4 80 0 18
## 69 1 80 0 18
## 70 4 80 1 1
## 71 2 80 0 15
## 72 1 80 1 11
## 73 4 80 0 28
## 74 2 80 1 4
## 75 1 80 0 0
## 76 4 80 1 6
## 77 2 80 0 1
## 78 2 80 2 3
## 79 2 80 1 8
## 80 4 80 0 8
## 81 2 80 2 10
## 82 2 80 1 8
## 83 1 80 0 8
## 84 3 80 0 6
## 85 3 80 0 9
## 86 3 80 2 9
## 87 1 80 0 37
## 88 2 80 0 10
## 89 4 80 0 21
## 90 4 80 0 40
## 91 1 80 0 6
## 92 1 80 2 9
## 93 3 80 1 13
## 94 3 80 1 12
## 95 3 80 2 2
## 96 4 80 1 29
## 97 2 80 0 5
## 98 2 80 2 10
## 99 3 80 1 32
## 100 4 80 1 5
## 101 1 80 0 7
## 102 3 80 2 10
## 103 3 80 0 5
## 104 4 80 0 1
## 105 2 80 2 5
## 106 3 80 0 4
## 107 4 80 0 19
## 108 1 80 0 6
## 109 2 80 1 17
## 110 3 80 1 23
## 111 1 80 2 6
## 112 3 80 1 15
## 113 2 80 0 6
## 114 4 80 0 5
## 115 1 80 1 8
## 116 1 80 0 8
## 117 2 80 1 1
## 118 3 80 1 7
## 119 3 80 0 21
## 120 4 80 0 3
## 121 3 80 2 13
## 122 4 80 1 5
## 123 4 80 0 12
## 124 4 80 3 5
## 125 2 80 0 6
## 126 3 80 0 16
## 127 2 80 1 3
## 128 4 80 0 29
## 129 2 80 1 12
## 130 3 80 0 1
## 131 4 80 1 16
## 132 1 80 0 5
## 133 3 80 2 10
## 134 3 80 3 20
## 135 4 80 1 10
## 136 3 80 0 9
## 137 1 80 0 2
## 138 2 80 1 10
## 139 2 80 1 26
## 140 4 80 1 13
## 141 2 80 2 17
## 142 3 80 1 12
## 143 4 80 0 13
## 144 3 80 1 11
## 145 3 80 0 9
## 146 3 80 1 8
## 147 3 80 1 10
## 148 1 80 2 10
## 149 3 80 1 12
## 150 4 80 0 0
## 151 2 80 1 9
## 152 2 80 0 7
## 153 2 80 3 7
## 154 4 80 1 25
## 155 2 80 1 21
## 156 3 80 0 21
## 157 4 80 0 9
## 158 2 80 0 5
## 159 1 80 0 4
## 160 4 80 1 24
## 161 1 80 3 4
## 162 2 80 0 10
## 163 2 80 1 9
## 164 3 80 1 1
## 165 3 80 2 11
## 166 4 80 0 1
## 167 2 80 0 6
## 168 3 80 1 16
## 169 3 80 0 9
## 170 1 80 1 11
## 171 2 80 0 6
## 172 2 80 0 6
## 173 3 80 2 10
## 174 4 80 1 18
## 175 3 80 0 5
## 176 1 80 2 1
## 177 1 80 2 7
## 178 2 80 2 12
## 179 4 80 0 8
## 180 4 80 2 7
## 181 2 80 1 34
## 182 1 80 0 8
## 183 4 80 0 8
## 184 2 80 1 6
## 185 3 80 0 6
## 186 3 80 1 6
## 187 3 80 1 6
## 188 3 80 1 22
## 189 3 80 0 19
## 190 1 80 0 6
## 191 1 80 1 13
## 192 1 80 1 9
## 193 3 80 1 15
## 194 2 80 1 3
## 195 4 80 1 12
## 196 4 80 1 5
## 197 2 80 3 20
## 198 4 80 0 33
## 199 1 80 2 5
## 200 4 80 1 4
## 201 2 80 1 5
## 202 2 80 1 13
## 203 4 80 0 2
## 204 3 80 1 10
## 205 3 80 1 6
## 206 1 80 0 28
## 207 4 80 1 26
## 208 1 80 1 10
## 209 4 80 0 10
## 210 2 80 1 19
## 211 4 80 0 8
## 212 4 80 1 4
## 213 1 80 1 1
## 214 3 80 0 15
## 215 2 80 0 10
## 216 3 80 1 20
## 217 3 80 1 6
## 218 2 80 1 6
## 219 3 80 1 6
## 220 4 80 0 6
## 221 1 80 2 7
## 222 1 80 1 15
## 223 3 80 3 10
## 224 2 80 1 7
## 225 4 80 2 6
## 226 2 80 1 8
## 227 1 80 1 17
## 228 3 80 1 6
## 229 3 80 1 8
## 230 2 80 0 10
## 231 2 80 1 21
## 232 3 80 2 8
## 233 4 80 1 13
## 234 4 80 1 35
## 235 3 80 0 8
## 236 4 80 2 8
## 237 4 80 2 9
## 238 2 80 0 10
## 239 4 80 0 7
## 240 4 80 1 6
## 241 4 80 1 15
## 242 3 80 1 14
## 243 4 80 0 15
## 244 1 80 1 18
## 245 2 80 0 25
## 246 4 80 1 8
## 247 4 80 0 18
## 248 1 80 3 10
## 249 4 80 1 24
## 250 4 80 2 8
## 251 2 80 1 20
## 252 3 80 0 27
## 253 2 80 0 10
## 254 4 80 1 22
## 255 4 80 0 2
## 256 1 80 0 1
## 257 4 80 1 6
## 258 2 80 1 9
## 259 2 80 0 22
## 260 1 80 1 4
## 261 1 80 1 9
## 262 4 80 2 21
## 263 2 80 2 10
## 264 2 80 0 4
## 265 1 80 0 10
## 266 1 80 2 6
## 267 2 80 1 17
## 268 4 80 1 10
## 269 3 80 2 17
## 270 1 80 1 14
## 271 2 80 1 10
## 272 4 80 1 10
## 273 2 80 0 27
## 274 2 80 0 4
## 275 3 80 0 14
## 276 3 80 0 8
## 277 1 80 0 6
## 278 2 80 1 4
## 279 1 80 3 3
## 280 1 80 3 11
## 281 4 80 3 4
## 282 2 80 0 8
## 283 4 80 0 20
## 284 4 80 0 1
## 285 3 80 0 16
## 286 3 80 0 21
## 287 3 80 3 5
## 288 4 80 1 15
## 289 3 80 1 4
## 290 4 80 2 7
## 291 3 80 0 6
## 292 4 80 0 10
## 293 2 80 0 11
## 294 4 80 0 12
## 295 1 80 1 8
## 296 3 80 1 2
## 297 4 80 1 14
## 298 2 80 0 6
## 299 3 80 2 6
## 300 1 80 1 8
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## 7 2 4 7 7
## 8 2 1 2 2
## 9 2 2 10 7
## 10 1 2 5 2
## 11 1 4 7 7
## 12 3 3 4 2
## 13 5 2 6 0
## 14 3 3 4 2
## 15 2 3 0 0
## 16 3 4 3 2
## 17 3 3 7 0
## 18 3 3 0 0
## 19 3 2 7 7
## 20 2 1 5 4
## 21 4 3 9 8
## 22 3 3 4 2
## 23 3 3 9 8
## 24 3 3 6 5
## 25 3 3 8 7
## 26 4 2 9 8
## 27 2 2 0 0
## 28 3 2 20 8
## 29 6 4 10 8
## 30 3 3 2 2
## 31 3 3 2 2
## 32 4 2 1 0
## 33 2 3 8 7
## 34 3 2 1 0
## 35 4 4 9 3
## 36 3 3 3 2
## 37 5 2 10 9
## 38 2 2 6 2
## 39 3 2 2 2
## 40 2 3 1 0
## 41 2 3 8 7
## 42 2 3 6 2
## 43 5 2 4 3
## 44 6 3 11 10
## 45 6 3 2 2
## 46 2 3 4 3
## 47 3 3 3 2
## 48 4 3 5 3
## 49 5 3 1 0
## 50 3 2 1 0
## 51 3 3 3 2
## 52 2 3 1 0
## 53 3 2 1 0
## 54 3 4 4 3
## 55 6 3 10 8
## 56 3 3 7 7
## 57 4 4 10 7
## 58 3 3 18 16
## 59 2 2 1 0
## 60 2 2 7 7
## 61 3 3 15 14
## 62 6 3 7 7
## 63 2 3 10 7
## 64 3 2 1 0
## 65 2 3 1 0
## 66 2 2 0 0
## 67 3 3 4 2
## 68 2 3 4 2
## 69 2 3 7 7
## 70 3 3 1 0
## 71 3 1 5 4
## 72 3 3 7 6
## 73 3 2 21 16
## 74 2 3 3 2
## 75 2 3 0 0
## 76 0 4 6 4
## 77 3 3 1 0
## 78 3 1 3 2
## 79 2 2 7 7
## 80 2 3 5 4
## 81 1 2 6 3
## 82 3 2 7 7
## 83 3 2 4 3
## 84 3 2 5 4
## 85 2 2 5 4
## 86 2 4 5 0
## 87 3 2 6 4
## 88 2 3 8 7
## 89 2 3 2 0
## 90 2 3 31 15
## 91 1 3 6 5
## 92 3 3 9 8
## 93 3 2 4 3
## 94 3 1 8 3
## 95 2 3 2 2
## 96 2 2 27 3
## 97 3 1 5 4
## 98 2 3 10 9
## 99 3 3 2 2
## 100 2 3 3 2
## 101 5 3 7 7
## 102 2 1 9 7
## 103 2 2 4 2
## 104 0 4 1 0
## 105 6 3 4 2
## 106 3 2 4 3
## 107 0 3 2 2
## 108 2 3 5 2
## 109 2 3 17 14
## 110 2 4 1 0
## 111 5 3 5 3
## 112 3 3 3 2
## 113 3 2 2 2
## 114 2 3 4 2
## 115 2 2 6 3
## 116 2 3 4 1
## 117 5 3 0 0
## 118 3 2 4 3
## 119 2 3 21 6
## 120 5 3 2 2
## 121 2 3 5 4
## 122 1 3 5 3
## 123 2 1 11 9
## 124 2 3 0 0
## 125 1 3 5 3
## 126 3 3 16 13
## 127 0 2 2 1
## 128 3 2 20 7
## 129 2 3 10 9
## 130 2 1 1 0
## 131 2 3 4 2
## 132 3 3 0 0
## 133 4 2 9 5
## 134 2 3 5 0
## 135 3 2 8 2
## 136 3 2 4 2
## 137 3 3 2 2
## 138 2 3 2 2
## 139 6 3 7 7
## 140 3 1 7 7
## 141 5 3 1 0
## 142 3 3 1 0
## 143 2 3 13 12
## 144 3 2 7 1
## 145 5 2 6 3
## 146 0 3 6 4
## 147 4 3 9 6
## 148 3 3 10 8
## 149 2 3 10 9
## 150 2 3 0 0
## 151 3 4 8 7
## 152 6 3 1 0
## 153 2 3 2 2
## 154 3 2 23 15
## 155 2 2 7 6
## 156 3 2 6 0
## 157 1 3 2 2
## 158 3 3 5 4
## 159 3 3 2 2
## 160 1 3 20 6
## 161 3 2 3 2
## 162 5 3 9 7
## 163 3 3 9 8
## 164 3 2 1 0
## 165 2 4 8 7
## 166 5 3 1 0
## 167 5 2 6 5
## 168 1 4 9 7
## 169 3 3 4 3
## 170 3 2 8 7
## 171 2 4 5 4
## 172 1 3 3 2
## 173 2 3 9 7
## 174 1 2 18 14
## 175 3 2 5 3
## 176 2 3 1 0
## 177 2 3 5 2
## 178 2 3 10 6
## 179 2 3 8 2
## 180 2 2 2 2
## 181 4 3 33 7
## 182 2 3 8 1
## 183 3 3 5 2
## 184 2 3 2 2
## 185 0 2 4 2
## 186 5 3 2 2
## 187 1 3 2 2
## 188 3 3 17 13
## 189 4 2 10 0
## 190 2 1 5 3
## 191 2 2 12 9
## 192 3 3 9 7
## 193 2 1 13 11
## 194 2 3 3 2
## 195 2 3 5 3
## 196 2 4 4 3
## 197 2 3 5 3
## 198 5 1 29 8
## 199 2 3 4 3
## 200 2 3 2 2
## 201 4 3 1 0
## 202 5 1 13 10
## 203 2 3 2 1
## 204 3 3 7 0
## 205 3 3 0 0
## 206 2 3 26 15
## 207 3 2 14 13
## 208 2 3 10 8
## 209 2 3 8 0
## 210 3 3 5 4
## 211 2 3 2 2
## 212 5 3 4 3
## 213 3 2 1 0
## 214 2 3 11 9
## 215 2 3 9 7
## 216 2 3 18 13
## 217 3 3 5 2
## 218 0 1 1 0
## 219 4 3 5 2
## 220 3 3 6 2
## 221 2 3 7 7
## 222 4 2 15 12
## 223 1 3 10 8
## 224 2 4 5 1
## 225 2 3 6 3
## 226 2 2 6 5
## 227 2 2 3 1
## 228 0 2 4 2
## 229 4 3 8 0
## 230 4 1 10 3
## 231 2 3 20 8
## 232 5 3 5 4
## 233 0 3 8 7
## 234 3 3 5 2
## 235 6 3 6 2
## 236 2 2 7 5
## 237 3 2 9 7
## 238 1 4 2 2
## 239 2 3 7 7
## 240 2 1 5 3
## 241 5 3 14 11
## 242 1 1 6 4
## 243 2 4 7 6
## 244 4 3 4 3
## 245 3 3 17 14
## 246 2 2 7 6
## 247 2 2 1 0
## 248 6 3 9 8
## 249 3 3 6 0
## 250 3 3 8 2
## 251 3 3 3 2
## 252 3 2 5 4
## 253 6 3 10 8
## 254 1 3 20 8
## 255 5 2 1 0
## 256 5 4 0 0
## 257 4 3 6 3
## 258 3 3 5 2
## 259 2 3 22 10
## 260 3 2 4 3
## 261 3 3 2 2
## 262 4 3 19 9
## 263 4 3 10 2
## 264 3 3 4 3
## 265 2 4 5 4
## 266 2 3 5 3
## 267 3 3 5 4
## 268 2 3 9 3
## 269 6 2 16 10
## 270 3 3 14 10
## 271 2 3 9 0
## 272 2 3 9 7
## 273 3 3 15 11
## 274 3 3 4 2
## 275 3 3 10 7
## 276 3 3 5 3
## 277 3 4 4 3
## 278 0 2 2 2
## 279 5 3 3 2
## 280 3 3 11 10
## 281 2 3 4 2
## 282 3 3 6 2
## 283 4 2 4 3
## 284 4 2 1 1
## 285 2 2 15 11
## 286 6 3 7 7
## 287 3 3 3 2
## 288 2 3 1 0
## 289 0 3 4 2
## 290 0 3 3 2
## 291 4 3 6 4
## 292 4 4 1 0
## 293 3 4 11 8
## 294 3 4 6 5
## 295 2 3 8 7
## 296 2 3 2 2
## 297 6 3 11 10
## 298 6 3 5 4
## 299 5 2 5 3
## 300 3 2 8 7
## YearsSinceLastPromotion YearsWithCurrManager
## 1 7 7
## 2 0 2
## 3 3 8
## 4 0 2
## 5 0 7
## 6 0 0
## 7 0 7
## 8 2 2
## 9 0 9
## 10 0 3
## 11 4 3
## 12 0 3
## 13 1 2
## 14 1 1
## 15 0 0
## 16 0 2
## 17 1 6
## 18 0 0
## 19 1 7
## 20 1 4
## 21 8 8
## 22 1 3
## 23 4 7
## 24 0 4
## 25 0 7
## 26 4 7
## 27 0 0
## 28 2 10
## 29 9 6
## 30 2 2
## 31 2 2
## 32 0 0
## 33 7 7
## 34 0 0
## 35 1 1
## 36 0 2
## 37 9 5
## 38 0 4
## 39 2 2
## 40 0 0
## 41 0 7
## 42 1 2
## 43 0 2
## 44 5 8
## 45 2 1
## 46 1 2
## 47 1 2
## 48 1 2
## 49 0 0
## 50 0 0
## 51 1 2
## 52 0 1
## 53 0 0
## 54 0 3
## 55 4 7
## 56 1 7
## 57 0 8
## 58 1 11
## 59 0 0
## 60 3 6
## 61 0 7
## 62 7 7
## 63 0 7
## 64 0 0
## 65 0 0
## 66 0 0
## 67 0 3
## 68 0 3
## 69 1 7
## 70 0 0
## 71 1 0
## 72 7 6
## 73 7 9
## 74 2 2
## 75 0 0
## 76 1 3
## 77 1 0
## 78 0 2
## 79 1 0
## 80 1 3
## 81 3 3
## 82 7 5
## 83 0 1
## 84 0 2
## 85 0 3
## 86 0 3
## 87 0 2
## 88 7 7
## 89 0 2
## 90 13 8
## 91 1 5
## 92 4 7
## 93 1 2
## 94 3 6
## 95 2 1
## 96 13 8
## 97 0 4
## 98 9 0
## 99 2 2
## 100 0 2
## 101 0 7
## 102 8 5
## 103 0 2
## 104 0 0
## 105 3 2
## 106 0 1
## 107 2 2
## 108 0 3
## 109 5 15
## 110 0 0
## 111 4 2
## 112 1 2
## 113 2 2
## 114 0 0
## 115 0 0
## 116 0 3
## 117 0 0
## 118 0 3
## 119 2 8
## 120 2 2
## 121 0 4
## 122 0 4
## 123 4 7
## 124 0 0
## 125 1 3
## 126 2 10
## 127 0 2
## 128 12 7
## 129 0 8
## 130 0 1
## 131 0 2
## 132 0 0
## 133 1 6
## 134 0 4
## 135 7 6
## 136 0 1
## 137 2 2
## 138 1 2
## 139 4 7
## 140 4 5
## 141 0 0
## 142 0 0
## 143 11 9
## 144 0 7
## 145 0 1
## 146 0 2
## 147 7 8
## 148 0 6
## 149 7 4
## 150 0 0
## 151 3 7
## 152 0 0
## 153 2 2
## 154 14 4
## 155 7 7
## 156 1 3
## 157 1 0
## 158 1 3
## 159 2 0
## 160 3 6
## 161 1 2
## 162 1 8
## 163 0 8
## 164 1 0
## 165 0 7
## 166 1 1
## 167 1 4
## 168 7 1
## 169 2 2
## 170 1 1
## 171 1 4
## 172 0 2
## 173 3 4
## 174 4 11
## 175 1 4
## 176 0 0
## 177 1 4
## 178 8 8
## 179 7 7
## 180 2 2
## 181 1 9
## 182 1 7
## 183 0 2
## 184 2 2
## 185 1 2
## 186 0 2
## 187 2 0
## 188 1 9
## 189 4 7
## 190 0 4
## 191 2 8
## 192 7 2
## 193 4 7
## 194 0 2
## 195 1 2
## 196 0 2
## 197 0 2
## 198 11 10
## 199 0 3
## 200 2 2
## 201 0 0
## 202 3 12
## 203 2 2
## 204 1 7
## 205 0 0
## 206 15 9
## 207 4 8
## 208 0 2
## 209 7 7
## 210 0 2
## 211 2 2
## 212 1 1
## 213 1 0
## 214 6 9
## 215 1 8
## 216 1 12
## 217 0 2
## 218 0 1
## 219 0 3
## 220 4 4
## 221 1 7
## 222 11 11
## 223 0 7
## 224 1 3
## 225 1 5
## 226 4 3
## 227 0 2
## 228 1 2
## 229 0 7
## 230 0 8
## 231 9 9
## 232 1 3
## 233 7 5
## 234 0 4
## 235 0 1
## 236 1 1
## 237 6 8
## 238 0 2
## 239 0 7
## 240 0 4
## 241 2 9
## 242 0 4
## 243 7 7
## 244 1 3
## 245 12 11
## 246 7 3
## 247 0 1
## 248 7 5
## 249 0 4
## 250 0 6
## 251 2 0
## 252 2 1
## 253 8 7
## 254 11 8
## 255 0 0
## 256 0 0
## 257 1 2
## 258 1 4
## 259 0 4
## 260 1 1
## 261 2 2
## 262 15 2
## 263 2 2
## 264 3 3
## 265 0 4
## 266 1 3
## 267 0 3
## 268 1 7
## 269 5 13
## 270 6 11
## 271 7 8
## 272 4 2
## 273 4 8
## 274 0 2
## 275 0 2
## 276 0 1
## 277 1 2
## 278 2 2
## 279 1 2
## 280 10 8
## 281 0 3
## 282 0 0
## 283 0 3
## 284 0 0
## 285 5 11
## 286 1 0
## 287 0 2
## 288 0 0
## 289 2 2
## 290 0 1
## 291 0 2
## 292 0 0
## 293 3 10
## 294 1 2
## 295 1 7
## 296 2 2
## 297 11 1
## 298 4 4
## 299 0 3
## 300 1 7
cor(employeeClean$MonthlyIncome ,employeeClean[,c(2,5,7,8,12,14,15,16,18, 20,21,25,26,27,29,30,31,32,33,34,35,36,37)])
## Age DailyRate DistanceFromHome Education EnvironmentSatisfaction
## [1,] 0.4842883 8.790339e-05 -0.006667155 0.1271314 -0.01687744
## HourlyRate JobInvolvement JobLevel JobSatisfaction MonthlyIncome
## [1,] 0.002391151 0.0004473792 0.95164 -0.05314853 1
## MonthlyRate PercentSalaryHike PerformanceRating RelationshipSatisfaction
## [1,] 0.06459407 -0.05386594 -0.043131 -0.003884678
## StockOptionLevel TotalWorkingYears TrainingTimesLastYear WorkLifeBalance
## [1,] 0.01888872 0.7785112 -0.03901457 0.02080489
## YearsAtCompany YearsInCurrentRole YearsSinceLastPromotion
## [1,] 0.491379 0.3618405 0.3159116
## YearsWithCurrManager OverTimeBinary
## [1,] 0.3284875 -0.02526885
#RMSE
set.seed(7)
LMSalaryMod = lm(MonthlyIncome ~ JobLevel + Age + TotalWorkingYears + YearsAtCompany + WorkLifeBalance + YearsWithCurrManager + DistanceFromHome + DailyRate + StockOptionLevel + PerformanceRating+HourlyRate + OverTime + YearsSinceLastPromotion + RelationshipSatisfaction + YearsInCurrentRole + PercentSalaryHike + TrainingTimesLastYear + MonthlyRate + JobSatisfaction + JobInvolvement, data = employeeClean)
summary(LMSalaryMod)
##
## Call:
## lm(formula = MonthlyIncome ~ JobLevel + Age + TotalWorkingYears +
## YearsAtCompany + WorkLifeBalance + YearsWithCurrManager +
## DistanceFromHome + DailyRate + StockOptionLevel + PerformanceRating +
## HourlyRate + OverTime + YearsSinceLastPromotion + RelationshipSatisfaction +
## YearsInCurrentRole + PercentSalaryHike + TrainingTimesLastYear +
## MonthlyRate + JobSatisfaction + JobInvolvement, data = employeeClean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -5768.7 -848.1 22.2 719.6 4052.1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -1.187e+03 6.461e+02 -1.837 0.06655 .
## JobLevel 3.734e+03 6.938e+01 53.810 < 2e-16 ***
## Age -3.876e+00 7.128e+00 -0.544 0.58672
## TotalWorkingYears 7.349e+01 1.317e+01 5.580 3.24e-08 ***
## YearsAtCompany -7.383e+00 1.690e+01 -0.437 0.66237
## WorkLifeBalance -4.782e+01 6.633e+01 -0.721 0.47111
## YearsWithCurrManager -5.020e+01 2.134e+01 -2.353 0.01886 *
## DistanceFromHome -1.609e+01 5.813e+00 -2.769 0.00575 **
## DailyRate -5.117e-02 1.178e-01 -0.434 0.66414
## StockOptionLevel 3.217e+00 5.537e+01 0.058 0.95368
## PerformanceRating -3.230e+02 2.076e+02 -1.556 0.12017
## HourlyRate 1.696e+00 2.359e+00 0.719 0.47234
## OverTimeYes 7.882e+00 1.038e+02 0.076 0.93949
## YearsSinceLastPromotion 3.381e+00 1.953e+01 0.173 0.86263
## RelationshipSatisfaction 1.245e+01 4.271e+01 0.292 0.77070
## YearsInCurrentRole -7.878e+00 2.174e+01 -0.362 0.71717
## PercentSalaryHike 3.482e+01 2.034e+01 1.711 0.08736 .
## TrainingTimesLastYear 2.003e+01 3.715e+01 0.539 0.58998
## MonthlyRate -5.434e-03 6.655e-03 -0.817 0.41441
## JobSatisfaction -6.510e+00 4.258e+01 -0.153 0.87853
## JobInvolvement 1.037e+02 6.736e+01 1.540 0.12388
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1379 on 849 degrees of freedom
## Multiple R-squared: 0.9121, Adjusted R-squared: 0.9101
## F-statistic: 440.7 on 20 and 849 DF, p-value: < 2.2e-16
rss = c(crossprod(LMSalaryMod$residuals))
mse = rss / length(LMSalaryMod$residuals)
rmse = sqrt(mse)
sig2 = rss / LMSalaryMod$df.residual
rmse
## [1] 1362.027
#Predicted Salary to include in file
SalaryPredict = predict(LMSalaryMod, newdata = employeeSalaryClean)
SalaryPredict
## 1 2 3 4 5 6 7 8
## 5826.610 2303.216 14589.857 2270.876 1701.300 7241.609 5612.776 1874.902
## 9 10 11 12 13 14 15 16
## 1842.756 14966.752 11030.029 2519.027 6275.437 6214.154 6735.748 6150.478
## 17 18 19 20 21 22 23 24
## 5845.590 6337.404 6100.131 2492.957 6010.540 9484.753 9621.037 5990.441
## 25 26 27 28 29 30 31 32
## 11010.625 10040.771 10195.314 14080.101 5924.457 2493.195 2390.403 6724.036
## 33 34 35 36 37 38 39 40
## 6528.015 3032.869 14915.608 6001.979 10752.997 6161.324 2116.086 2202.938
## 41 42 43 44 45 46 47 48
## 18172.964 2432.320 2702.600 9938.464 6250.441 5821.792 2330.082 5945.411
## 49 50 51 52 53 54 55 56
## 2036.885 2966.814 2197.968 2297.539 6416.872 6552.273 15265.163 2250.636
## 57 58 59 60 61 62 63 64
## 6107.025 9972.113 2191.682 2349.056 6302.839 9915.492 9970.717 2211.897
## 65 66 67 68 69 70 71 72
## 2454.732 2350.129 10787.132 10285.981 6341.811 2468.537 3136.967 9903.953
## 73 74 75 76 77 78 79 80
## 10545.833 6173.775 1884.334 6156.535 2155.905 2027.726 2295.431 5871.896
## 81 82 83 84 85 86 87 88
## 2483.553 5765.592 6379.151 2362.669 6308.380 9714.901 11589.075 1910.552
## 89 90 91 92 93 94 95 96
## 10757.848 19058.021 2113.657 5682.296 6533.133 6562.299 1842.754 18298.646
## 97 98 99 100 101 102 103 104
## 1892.104 10136.501 15411.322 2081.913 5857.718 6042.942 2336.032 2083.511
## 105 106 107 108 109 110 111 112
## 5771.485 2028.560 6926.677 1979.243 9488.912 18492.518 1878.195 10520.018
## 113 114 115 116 117 118 119 120
## 2418.989 2354.571 6142.955 2557.089 2068.837 6100.061 10247.910 2184.135
## 121 122 123 124 125 126 127 128
## 6276.896 2307.619 6380.535 6069.782 5911.523 6243.643 2157.719 15142.624
## 129 130 131 132 133 134 135 136
## 9932.743 1932.912 6811.899 6275.361 6152.920 7030.077 2236.372 6305.912
## 137 138 139 140 141 142 143 144
## 2295.179 6099.601 18503.998 6255.406 10600.052 6573.293 5886.679 6445.606
## 145 146 147 148 149 150 151 152
## 6031.126 2170.054 2232.600 9939.551 10005.422 2217.014 6153.979 6421.713
## 153 154 155 156 157 158 159 160
## 5947.150 10976.930 14241.646 18366.309 6341.135 5872.149 6088.371 10825.154
## 161 162 163 164 165 166 167 168
## 5983.375 2437.866 9690.513 2230.655 5899.220 1885.337 5633.190 10339.536
## 169 170 171 172 173 174 175 176
## 9904.198 6040.697 1658.331 2319.689 10124.870 6486.530 2117.113 2137.062
## 177 178 179 180 181 182 183 184
## 6042.279 9801.944 2023.329 5838.997 11283.622 2017.620 6242.082 2510.361
## 185 186 187 188 189 190 191 192
## 2502.000 2565.091 6412.265 14028.492 6814.057 2338.680 6465.490 6212.421
## 193 194 195 196 197 198 199 200
## 6419.863 2093.522 6230.537 2257.328 3446.406 18666.710 5916.643 2216.090
## 201 202 203 204 205 206 207 208
## 2561.805 6075.067 2132.059 6215.446 6039.915 14520.182 18209.459 5987.560
## 209 210 211 212 213 214 215 216
## 6015.991 6587.112 2481.654 2166.845 2236.285 6297.827 9275.803 9921.386
## 217 218 219 220 221 222 223 224
## 6230.197 2545.048 2358.466 5895.071 5696.956 5979.830 9666.161 5880.774
## 225 226 227 228 229 230 231 232
## 6048.001 6209.454 3172.598 2168.906 2378.218 6179.115 17899.639 6129.307
## 233 234 235 236 237 238 239 240
## 6354.505 11816.907 2703.066 2521.481 2163.496 6034.841 5685.280 5971.178
## 241 242 243 244 245 246 247 248
## 6244.211 10341.728 9862.897 6778.977 10272.006 2396.657 6891.714 5952.797
## 249 250 251 252 253 254 255 256
## 10830.104 2357.852 10400.247 15189.236 5948.059 14140.088 2270.973 2012.773
## 257 258 259 260 261 262 263 264
## 2444.661 5906.356 14688.993 2268.081 10037.771 14392.375 6448.134 2011.578
## 265 266 267 268 269 270 271 272
## 2344.399 2397.111 2949.420 6315.664 10114.068 13342.899 5581.050 6107.859
## 273 274 275 276 277 278 279 280
## 10752.030 5977.006 6528.913 5998.853 6087.245 2302.515 2403.273 6292.124
## 281 282 283 284 285 286 287 288
## 2125.828 6016.289 6703.135 1977.768 6125.026 15022.313 2435.363 6928.530
## 289 290 291 292 293 294 295 296
## 2108.994 6201.815 2215.264 10379.660 1947.508 10311.687 2107.849 1856.947
## 297 298 299 300
## 9994.818 5842.411 2304.075 2006.681
#Wrote Predicted Salary to file
employeeSalaryClean$PredictedSalary = unlist(SalaryPredict)
PredictionSalaryDF = data.frame(c(employeeSalaryClean$ï..ID), c(employeeSalaryClean$PredictedSalary))
SalaryPrediction = unlist(SalaryPredict)
employeeSalary$SalaryPrediction = SalaryPrediction
employeeSalary$SalaryPrediction
## [1] 5826.610 2303.216 14589.857 2270.876 1701.300 7241.609 5612.776
## [8] 1874.902 1842.756 14966.752 11030.029 2519.027 6275.437 6214.154
## [15] 6735.748 6150.478 5845.590 6337.404 6100.131 2492.957 6010.540
## [22] 9484.753 9621.037 5990.441 11010.625 10040.771 10195.314 14080.101
## [29] 5924.457 2493.195 2390.403 6724.036 6528.015 3032.869 14915.608
## [36] 6001.979 10752.997 6161.324 2116.086 2202.938 18172.964 2432.320
## [43] 2702.600 9938.464 6250.441 5821.792 2330.082 5945.411 2036.885
## [50] 2966.814 2197.968 2297.539 6416.872 6552.273 15265.163 2250.636
## [57] 6107.025 9972.113 2191.682 2349.056 6302.839 9915.492 9970.717
## [64] 2211.897 2454.732 2350.129 10787.132 10285.981 6341.811 2468.537
## [71] 3136.967 9903.953 10545.833 6173.775 1884.334 6156.535 2155.905
## [78] 2027.726 2295.431 5871.896 2483.553 5765.592 6379.151 2362.669
## [85] 6308.380 9714.901 11589.075 1910.552 10757.848 19058.021 2113.657
## [92] 5682.296 6533.133 6562.299 1842.754 18298.646 1892.104 10136.501
## [99] 15411.322 2081.913 5857.718 6042.942 2336.032 2083.511 5771.485
## [106] 2028.560 6926.677 1979.243 9488.912 18492.518 1878.195 10520.018
## [113] 2418.989 2354.571 6142.955 2557.089 2068.837 6100.061 10247.910
## [120] 2184.135 6276.896 2307.619 6380.535 6069.782 5911.523 6243.643
## [127] 2157.719 15142.624 9932.743 1932.912 6811.899 6275.361 6152.920
## [134] 7030.077 2236.372 6305.912 2295.179 6099.601 18503.998 6255.406
## [141] 10600.052 6573.293 5886.679 6445.606 6031.126 2170.054 2232.600
## [148] 9939.551 10005.422 2217.014 6153.979 6421.713 5947.150 10976.930
## [155] 14241.646 18366.309 6341.135 5872.149 6088.371 10825.154 5983.375
## [162] 2437.866 9690.513 2230.655 5899.220 1885.337 5633.190 10339.536
## [169] 9904.198 6040.697 1658.331 2319.689 10124.870 6486.530 2117.113
## [176] 2137.062 6042.279 9801.944 2023.329 5838.997 11283.622 2017.620
## [183] 6242.082 2510.361 2502.000 2565.091 6412.265 14028.492 6814.057
## [190] 2338.680 6465.490 6212.421 6419.863 2093.522 6230.537 2257.328
## [197] 3446.406 18666.710 5916.643 2216.090 2561.805 6075.067 2132.059
## [204] 6215.446 6039.915 14520.182 18209.459 5987.560 6015.991 6587.112
## [211] 2481.654 2166.845 2236.285 6297.827 9275.803 9921.386 6230.197
## [218] 2545.048 2358.466 5895.071 5696.956 5979.830 9666.161 5880.774
## [225] 6048.001 6209.454 3172.598 2168.906 2378.218 6179.115 17899.639
## [232] 6129.307 6354.505 11816.907 2703.066 2521.481 2163.496 6034.841
## [239] 5685.280 5971.178 6244.211 10341.728 9862.897 6778.977 10272.006
## [246] 2396.657 6891.714 5952.797 10830.104 2357.852 10400.247 15189.236
## [253] 5948.059 14140.088 2270.973 2012.773 2444.661 5906.356 14688.993
## [260] 2268.081 10037.771 14392.375 6448.134 2011.578 2344.399 2397.111
## [267] 2949.420 6315.664 10114.068 13342.899 5581.050 6107.859 10752.030
## [274] 5977.006 6528.913 5998.853 6087.245 2302.515 2403.273 6292.124
## [281] 2125.828 6016.289 6703.135 1977.768 6125.026 15022.313 2435.363
## [288] 6928.530 2108.994 6201.815 2215.264 10379.660 1947.508 10311.687
## [295] 2107.849 1856.947 9994.818 5842.411 2304.075 2006.681
head(employeeSalary)
## ï..ID Age Attrition BusinessTravel DailyRate Department
## 1 871 43 No Travel_Frequently 1422 Sales
## 2 872 33 No Travel_Rarely 461 Research & Development
## 3 873 55 Yes Travel_Rarely 267 Sales
## 4 874 36 No Non-Travel 1351 Research & Development
## 5 875 27 No Travel_Rarely 1302 Research & Development
## 6 876 39 Yes Travel_Rarely 895 Sales
## DistanceFromHome Education EducationField EmployeeCount EmployeeNumber
## 1 2 4 Life Sciences 1 1849
## 2 13 1 Life Sciences 1 995
## 3 13 4 Marketing 1 1372
## 4 9 4 Life Sciences 1 1949
## 5 19 3 Other 1 1619
## 6 5 3 Technical Degree 1 42
## EnvironmentSatisfaction Gender HourlyRate JobInvolvement JobLevel
## 1 1 Male 92 3 2
## 2 2 Female 53 3 1
## 3 1 Male 85 4 4
## 4 1 Male 66 4 1
## 5 4 Male 67 2 1
## 6 4 Male 56 3 2
## JobRole JobSatisfaction MaritalStatus MonthlyRate
## 1 Sales Executive 4 Married 19246
## 2 Research Scientist 4 Single 17241
## 3 Sales Executive 3 Single 9277
## 4 Laboratory Technician 2 Married 9238
## 5 Laboratory Technician 1 Divorced 16290
## 6 Sales Representative 4 Married 3335
## NumCompaniesWorked Over18 OverTime PercentSalaryHike PerformanceRating
## 1 1 Y No 20 4
## 2 3 Y No 18 3
## 3 6 Y Yes 17 3
## 4 1 Y No 22 4
## 5 1 Y No 11 3
## 6 3 Y No 14 3
## RelationshipSatisfaction StandardHours StockOptionLevel TotalWorkingYears
## 1 3 80 1 7
## 2 1 80 0 5
## 3 3 80 0 24
## 4 2 80 0 5
## 5 1 80 2 7
## 6 3 80 1 19
## TrainingTimesLastYear WorkLifeBalance YearsAtCompany YearsInCurrentRole
## 1 5 3 7 7
## 2 4 3 3 2
## 3 2 2 19 7
## 4 3 3 5 4
## 5 3 3 7 7
## 6 6 4 1 0
## YearsSinceLastPromotion YearsWithCurrManager SalaryPrediction
## 1 7 7 5826.610
## 2 0 2 2303.216
## 3 3 8 14589.857
## 4 0 2 2270.876
## 5 0 7 1701.300
## 6 0 0 7241.609
write.csv(PredictionSalaryDF, "SalaryPrediction.csv", row.names = TRUE)
#Predicted Attrition and wrote to file
employeeNoAttri = read.csv(file.choose(), header = TRUE)
classifier1 = naiveBayes(model[,-c(1,5,9,10,11,14,21,23,24,28, 37:45)],model$Attrition)
attrition_pred = predict(classifier1, employeeClean)
employeeClean$PredictAttrition = unlist(attrition_pred)
PredictionsAttritionDF = data.frame(c(employeeClean$ID), c(employeeClean$PredictAttrition))
write.csv(PredictionsAttritionDF, "AttritionPrediction.csv", row.names = TRUE)